sae_ctx / mean / ridge), single-turn corpus. Each feature is shown with its own
shuffle-null band, activity and consistency correlates, four reliability-screened description axes,
and two independently-produced natural-language descriptions.| Rank | Feature | R² | vs null (−1…1) | Null 95% band | vs null | Activity | Consistency | Spearman | Axis labels | Description — issue #1773 | Description — NeuronPedia |
|---|---|---|---|---|---|---|---|---|---|---|---|
| best #1 | 102898 | 0.948 | [-0.092, -0.063] med -0.078 | above band Δ+1.026 | 0.125 d3 | 0.0304 | 0.403 | absabstract_contextualtypesyntaxinterpyesspkrregister_style | issue_1773 · conf 85 Abstract nouns and nominalized concepts denoting qualities, systems, processes, standards, or outcomes in formal, professional, technical, or descriptive contexts. | neuronpedia · gemini-2.0-flash business and technology | |
| best #2 | 20079 | 0.943 | [-0.082, -0.059] med -0.069 | above band Δ+1.012 | 0.136 d4 | 0.0056 | 0.513 | abstoken_surfacetypetask_formatinterpyesspkrnone | issue_1773 · conf 92 The token immediately precedes the start of an enumerated list, structured breakdown, or detailed explanation section in formal or technical writing, marking the transition from introductory context to organized content presentation. | neuronpedia · gemini-2.0-flash . | |
| best #3 | 51126 | 0.906 | [-0.081, -0.052] med -0.067 | above band Δ+0.973 | 0.368 d8 | 0.6360 | 0.739 | absabstract_contextualtypesyntaxinterpnospkrlanguage | issue_1773 · conf 75 Content-bearing morphemes, words, or characters across multiple languages that carry lexical or semantic meaning rather than purely grammatical function, often appearing as substantive nouns, verbs, adjectives, or meaningful word parts. | neuronpedia · gemini-2.0-flash Foreign languages | |
| best #4 | 47983 | 0.904 | [-0.089, -0.064] med -0.077 | above band Δ+0.980 | 0.141 d4 | 0.0065 | 0.497 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Sentence-ending punctuation marks (period, exclamation mark, or Chinese period) that conclude complete formal or declarative statements in professional, academic, technical, or narrative writing contexts. | neuronpedia · gemini-2.0-flash period | |
| best #5 | 33003 | 0.885 | [-0.072, -0.045] med -0.065 | above band Δ+0.950 | 0.101 d1 | 0.2751 | 0.274 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Common grammatical function words, short words, and word fragments in non-English text, particularly in Romance languages (Spanish, Portuguese, Italian, French) and other non-English languages. | neuronpedia · gemini-2.0-flash Spanish Q&A | |
| best #6 | 48775 | 0.867 | [-0.084, -0.059] med -0.065 | above band Δ+0.932 | 0.619 d9 | 0.1464 | 0.516 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 45 Tokens appearing in the middle of well-formed, fluent sentences across multiple languages and domains, representing typical word continuations in coherent technical, narrative, or descriptive prose. | neuronpedia · gemini-2.0-flash Scientific studies/reports | |
| best #7 | 118747 | 0.864 | [-0.089, -0.060] med -0.072 | above band Δ+0.936 | 0.107 d2 | 0.0120 | 0.274 | absabstract_contextualtypetopicinterpyesspkrnone | issue_1773 · conf 90 Abstract nouns representing positive values, principles, goals, or desirable qualities (such as innovation, sustainability, quality, privacy, learning, excellence) typically emphasized in formal or professional contexts as important organizational or societal ideals. | neuronpedia · gemini-2.0-flash sustainability | |
| best #8 | 31206 | 0.860 | [-0.082, -0.051] med -0.068 | above band Δ+0.928 | 0.221 d7 | 0.0878 | 0.495 | absabstract_contextualtypesyntaxinterpyesspkrlanguage | issue_1773 · conf 75 Noun tokens or noun-forming morphemes in non-English languages (primarily Russian, Romance languages, Chinese), often representing common concrete or abstract objects, concepts, or processes in informational or instructional text. | neuronpedia · gemini-2.0-flash uso | |
| best #9 | 60254 | 0.857 | [-0.085, -0.059] med -0.071 | above band Δ+0.927 | 0.146 d4 | 0.3873 | 0.347 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Small subword tokens (1-3 characters) that are fragments within words, primarily in non-English languages including Chinese, Russian, Polish, Arabic, Vietnamese, and other non-Latin script languages, appearing in technical or instructional contexts. | neuronpedia · gemini-2.0-flash Russian text | |
| best #10 | 17653 | 0.855 | [-0.085, -0.059] med -0.072 | above band Δ+0.927 | 0.134 d4 | 0.4743 | 0.360 | abstoken_surfacetypesyntaxinterpnospkrlanguage | issue_1773 · conf 85 Tokens that are parts of words, suffixes, or grammatical elements in non-English languages, especially Cyrillic-script languages like Russian, Polish, and Ukrainian, as well as other non-Latin scripts. | neuronpedia · gemini-2.0-flash Formal/Technical writing | |
| best #11 | 55389 | 0.852 | [-0.079, -0.058] med -0.070 | above band Δ+0.922 | 0.243 d7 | 0.5049 | 0.545 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Tokens that appear at syntactic boundaries, structural delimiters, or within formatted/code content, including punctuation marks, numeric/character parts of technical notation, and characters at language transition points in multilingual text. | neuronpedia · gemini-2.0-flash Code documentation | |
| best #12 | 94451 | 0.846 | [-0.093, -0.064] med -0.078 | above band Δ+0.924 | 0.146 d4 | 0.0071 | 0.441 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Commas and similar punctuation marks that separate clauses, phrases, or list items at syntactic boundaries within sentences across multiple languages. | neuronpedia · gemini-2.0-flash commas | |
| best #13 | 70587 | 0.830 | [-0.081, -0.059] med -0.069 | above band Δ+0.900 | 0.120 d3 | 0.0245 | 0.354 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 82 Technical or domain-specific nouns and nominal phrases that serve as key informational units in formal, instructional, or explanatory contexts across multiple languages, particularly in documentation, educational materials, and technical guides. | neuronpedia · gemini-2.0-flash Discussion articles | |
| best #14 | 88021 | 0.829 | [-0.079, -0.059] med -0.072 | above band Δ+0.902 | 0.158 d5 | 0.2233 | 0.552 | abslexical_semantictypesyntaxinterpyesspkrlanguage | issue_1773 · conf 92 Common Chinese noun characters or noun-forming morphemes (including some Japanese kanji equivalents) used in technical, academic, or formal contexts, typically appearing as part of compound nouns or technical terminology. | neuronpedia · gemini-2.0-flash computer code | |
| best #15 | 96189 | 0.829 | [-0.097, -0.064] med -0.076 | above band Δ+0.905 | 0.111 d2 | 0.0514 | 0.169 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Structural formatting tokens that delimit or introduce sections, list items, headers, code blocks, or emphasized text segments in formatted documents across multiple languages. | neuronpedia · gemini-2.0-flash descriptions and tags | |
| best #16 | 47030 | 0.825 | [-0.084, -0.055] med -0.069 | above band Δ+0.893 | 0.952 d9 | 0.5282 | 0.908 | absabstract_contextualtypesyntaxinterpnospkrregister_style | issue_1773 · conf 75 Tokens representing technical terminology, formal vocabulary, or neutral informational language across multiple languages, typically appearing in professional, academic, or instructional contexts rather than casual or inappropriate discourse. | neuronpedia · gemini-2.0-flash Code/Comments | |
| best #17 | 113362 | 0.823 | [-0.088, -0.062] med -0.077 | above band Δ+0.900 | 0.297 d8 | 0.0794 | 0.367 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Content-bearing tokens (words or characters carrying semantic meaning) in mid-sentence or mid-phrase positions across multiple languages, as opposed to sentence boundaries, structural punctuation, or formatting elements. | neuronpedia · gemini-2.0-flash code/technical descriptions | |
| best #18 | 53213 | 0.822 | [-0.082, -0.048] med -0.065 | above band Δ+0.888 | 0.137 d4 | 0.1102 | 0.296 | absabstract_contextualtypetask_formatinterpnospkrlanguage | issue_1773 · conf 72 Tokens in multilingual descriptive, instructional, or informational content, especially within structured formats like lists, guides, templates, and formal explanatory text. | neuronpedia · gemini-2.0-flash non-English text | |
| best #19 | 69801 | 0.819 | [-0.078, -0.058] med -0.070 | above band Δ+0.889 | 0.166 d5 | 0.1940 | 0.554 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 95 Chinese language tokens, specifically nouns or noun components appearing in Chinese text contexts, including single characters and multi-character words that name concrete or abstract concepts. | neuronpedia · gemini-2.0-flash Chinese text | |
| best #20 | 45805 | 0.819 | [-0.081, -0.057] med -0.066 | above band Δ+0.885 | 0.916 d9 | 0.1182 | 0.786 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Subword tokens that represent internal fragments (typically 2-4 characters) of longer words, occurring at tokenization boundaries where words are split into multiple tokens by the language model's tokenizer. | neuronpedia · gemini-2.0-flash Research papers | |
| best #21 | 32909 | 0.816 | [-0.093, -0.053] med -0.070 | above band Δ+0.885 | 0.118 d3 | 0.1265 | 0.251 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Very short tokens (1-3 characters) including punctuation marks, prepositions, articles, conjunctions, and word fragments that appear at word or phrase boundaries in multilingual text. | neuronpedia · gemini-2.0-flash Recipes | |
| best #22 | 10496 | 0.815 | [-0.093, -0.063] med -0.075 | above band Δ+0.890 | 0.139 d4 | 0.0090 | 0.322 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Tokens that are fragments or substrings within proper nouns (personal names, company names, place names) or technical/specialized terms, typically representing mid-word segments rather than complete words. | neuronpedia · gemini-2.0-flash diverse articles | |
| best #23 | 68048 | 0.814 | [-0.085, -0.060] med -0.069 | above band Δ+0.883 | 0.119 d3 | 0.0748 | 0.396 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Word-final morphological suffixes or morphemes in non-English languages that mark grammatical categories (case, number, gender) or complete noun formations, particularly prevalent in Slavic, Greek, Romance, and Chinese texts. | neuronpedia · gemini-2.0-flash Russian text | |
| best #24 | 123698 | 0.811 | [-0.077, -0.058] med -0.071 | above band Δ+0.882 | 0.161 d5 | 0.1814 | 0.564 | absabstract_contextualtypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Common grammatical function words, particles, and frequently-used verbs in Chinese (and occasionally other East Asian languages like Japanese and Vietnamese) that appear in formal, explanatory, or instructional texts, particularly those serving discourse-organizational or predicate functions. | neuronpedia · gemini-2.0-flash Code/other languages | |
| best #25 | 83477 | 0.809 | [-0.079, -0.060] med -0.072 | above band Δ+0.881 | 0.177 d5 | 0.1742 | 0.555 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 95 Common Chinese characters or short Chinese words (typically 1-2 characters) appearing in Chinese-language text, often in technical, instructional, narrative, or descriptive contexts. | neuronpedia · gemini-2.0-flash 病 | |
| best #26 | 126513 | 0.809 | [-0.090, -0.069] med -0.079 | above band Δ+0.888 | 0.149 d4 | 0.0361 | 0.461 | abslexical_semantictypetopicinterpyesspkrnone | issue_1773 · conf 92 Nouns representing processes, procedures, activities, operations, or systematic methods, particularly in technical, industrial, or structured contexts across languages. | neuronpedia no description | |
| best #27 | 42076 | 0.800 | [-0.085, -0.056] med -0.068 | above band Δ+0.868 | 0.737 d9 | 0.0472 | 0.688 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 92 Word-internal token fragments that represent the continuation or completion of multi-token words, occurring at morpheme boundaries or within compound/inflected forms. | neuronpedia · gemini-2.0-flash ol | |
| best #28 | 37222 | 0.799 | [-0.082, -0.059] med -0.075 | above band Δ+0.874 | 0.432 d9 | 0.0259 | 0.683 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Punctuation and whitespace tokens that serve as structural delimiters between section headers, labels, or formatting markers and their subsequent explanatory content, particularly colons, periods, and line breaks in formatted documentation, lists, or technical writing. | neuronpedia · gemini-2.0-flash punctuation | |
| best #29 | 24034 | 0.796 | [-0.064, -0.040] med -0.052 | above band Δ+0.848 | 0.127 d3 | 0.0209 | 0.238 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Punctuation marks, special characters, conjunctions, or short tokens that serve as delimiters or separators between items in lists, technical notation, code syntax, or formal written structures. | neuronpedia · gemini-2.0-flash Company and product names | |
| best #30 | 24708 | 0.796 | [-0.081, -0.062] med -0.070 | above band Δ+0.866 | 1.000 d9 | 0.9932 | 0.898 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 85 Discourse markers, connective words, and meta-linguistic expressions that signal transitions, clarifications, responses, or manage conversational flow across multiple languages, particularly in instructional, explanatory, or dialogue contexts. | neuronpedia · gemini-2.0-flash requirement | |
| best #31 | 127589 | 0.795 | [-0.079, -0.057] med -0.070 | above band Δ+0.865 | 0.160 d5 | 0.0875 | 0.553 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Punctuation marks (primarily commas and colons) that separate or connect clauses in Chinese, multilingual, or East Asian language texts, typically introducing additional information, clarifications, lists, or continuations rather than attributive relationships. | neuronpedia no description | |
| best #32 | 73221 | 0.791 | [-0.080, -0.057] med -0.072 | above band Δ+0.864 | 0.198 d6 | 0.2754 | 0.458 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Tokens that continue or complete words, phrases, or semantic units within naturally flowing text, particularly mid-word completions, phrase continuations, and tokens that maintain coherent meaning in multi-token expressions across various languages. | neuronpedia · gemini-2.0-flash narrative snippets | |
| best #33 | 14333 | 0.790 | [-0.075, -0.057] med -0.068 | above band Δ+0.858 | 0.154 d5 | 0.0688 | 0.541 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Line breaks, paragraph boundaries, and section-ending punctuation (especially periods and colons followed by newlines) in multilingual text, marking transitions between distinct content blocks or enumeration points. | neuronpedia · gemini-2.0-flash Chinese and technical | |
| best #34 | 41476 | 0.788 | [-0.145, -0.082] med -0.110 | above band Δ+0.898 | 0.107 d2 | 0.0082 | 0.216 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Horizontal rule markers, comment delimiters, and structural separator tokens (like '--', '---', '<!--') that divide sections or denote boundaries in formatted text, markdown, code, and documentation across multiple languages. | neuronpedia · gemini-2.0-flash -- | |
| best #35 | 88097 | 0.787 | [-0.081, -0.060] med -0.071 | above band Δ+0.858 | 0.211 d6 | 0.2254 | 0.532 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Programming syntax tokens including punctuation marks, operators, and delimiters that structure code in programming languages and configuration files (colons, parentheses, commas, brackets, arrows, etc.). | neuronpedia · gemini-2.0-flash code | |
| best #36 | 32923 | 0.785 | [-0.077, -0.062] med -0.070 | above band Δ+0.855 | 0.129 d3 | 0.0077 | 0.401 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Grammatical function words and structural tokens (prepositions, articles, punctuation, grammatical particles) that serve to connect or introduce phrases and clauses across multiple languages, rather than carrying primary semantic meaning. | neuronpedia · gemini-2.0-flash of | |
| best #37 | 24451 | 0.785 | [-0.096, -0.070] med -0.081 | above band Δ+0.866 | 0.101 d1 | 0.0054 | 0.329 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 75 Tokens that mark structural boundaries, transitions, or new entities in formal/professional writing, including sentence-ending punctuation, section starters, proper nouns introducing companies/people, and formatting delimiters in business documents and technical content. | neuronpedia · gemini-2.0-flash Snippets from larger documents | |
| best #38 | 57459 | 0.784 | [-0.081, -0.053] med -0.064 | above band Δ+0.847 | 0.989 d9 | 0.3308 | 0.826 | absabstract_contextualtypesyntaxinterpnospkrlanguage | issue_1773 · conf 75 Tokens appearing in multilingual or non-English language contexts, particularly in text responses written in languages other than English such as German, Spanish, Portuguese, Hungarian, Swedish, Russian, Korean, Chinese, French, and others. | neuronpedia · gemini-2.0-flash website excerpts | |
| best #39 | 127980 | 0.783 | [-0.082, -0.049] med -0.066 | above band Δ+0.850 | 0.106 d2 | 0.2253 | 0.321 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Common functional words, articles, basic verbs, and frequent linguistic elements that appear in general conversational or informative text across multiple languages, particularly in assistant-like responses and explanatory contexts. | neuronpedia no description | |
| best #40 | 13934 | 0.783 | [-0.066, -0.041] med -0.053 | above band Δ+0.836 | 0.247 d7 | 0.0205 | 0.359 | abslexical_semantictypeentityinterpyesspkrnone | issue_1773 · conf 85 Technical terminology, proper nouns, specialized vocabulary, identifiers, or domain-specific terms (including parts of compound technical terms, brand names, place names, scientific terms, and programming concepts) across multiple languages. | neuronpedia · gemini-2.0-flash eton | |
| best #41 | 36172 | 0.783 | [-0.082, -0.054] med -0.071 | above band Δ+0.853 | 0.271 d7 | 0.0939 | 0.649 | absabstract_contextualtypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Feminine grammatical gender markers, female-referencing words, and feminine noun/adjective endings across multiple languages, particularly in Romance, Germanic, and Slavic language families. | neuronpedia · gemini-2.0-flash different languages | |
| best #42 | 81444 | 0.782 | [-0.090, -0.061] med -0.070 | above band Δ+0.852 | 0.181 d6 | 0.0251 | 0.359 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Tokens that mark structural boundaries, transitions, or connectors in text, including sentence/clause beginnings, code delimiters, list separators, and linking words that bridge or continue ideas, particularly in technical, instructional, or formatted content. | neuronpedia · gemini-2.0-flash Technical documents | |
| best #43 | 42425 | 0.781 | [-0.085, -0.063] med -0.074 | above band Δ+0.855 | 0.680 d9 | 0.1848 | 0.737 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 75 Tokens that are parts of words in non-English languages (particularly Romance languages, Slavic languages, Chinese, Vietnamese, Arabic) or common English function words and technical terms appearing in multilingual or technical contexts. | neuronpedia · gemini-2.0-flash Hero | |
| best #44 | 48376 | 0.780 | [-0.080, -0.060] med -0.072 | above band Δ+0.851 | 0.895 d9 | 0.3249 | 0.855 | abstoken_surfacetypesyntaxinterpnospkrnone | issue_1773 · conf 75 Common, high-frequency tokens across multiple languages and contexts, including function words, common content words, list markers, partial words, and basic punctuation/formatting tokens. | neuronpedia · gemini-2.0-flash Code snippets | |
| best #45 | 2564 | 0.775 | [-0.083, -0.061] med -0.068 | above band Δ+0.844 | 0.173 d5 | 0.1171 | 0.332 | absabstract_contextualtypesyntaxinterpnospkrregister_style | issue_1773 · conf 75 Tokens that appear in formal, professional, or institutional writing contexts across multiple languages, including technical terms, procedural vocabulary, legal/academic language, and formal discourse markers. | neuronpedia · gemini-2.0-flash Formal communications | |
| best #46 | 66503 | 0.773 | [-0.080, -0.052] med -0.070 | above band Δ+0.843 | 0.122 d3 | 0.1227 | 0.546 | absabstract_contextualtypesyntaxinterpyesspkrlanguage | issue_1773 · conf 92 Grammatical function words (articles, prepositions, pronouns, conjunctions) and inflectional morphemes in Romance languages (Spanish, Portuguese, French, Italian, Romanian), Arabic, Persian, and Indonesian. | neuronpedia · gemini-2.0-flash articles | |
| best #47 | 94606 | 0.772 | [-0.079, -0.063] med -0.069 | above band Δ+0.841 | 0.909 d9 | 0.1017 | 0.812 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 82 Mid-word token fragments, particularly suffixes and syllables in technical terms, proper nouns, and non-English words (especially Chinese, Vietnamese, Italian, Russian, Indonesian) where tokenization splits compound words or multi-byte character sequences. | neuronpedia · gemini-2.0-flash Scientific/technical documentation | |
| best #48 | 4057 | 0.771 | [-0.076, -0.058] med -0.068 | above band Δ+0.839 | 0.101 d2 | 0.0243 | 0.348 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Tokens that mark the end of sentences, clauses, or complete thoughts, primarily consisting of terminal punctuation marks (periods, question marks, closing angle brackets) or appearing at natural discourse boundaries. | neuronpedia · gemini-2.0-flash . | |
| best #49 | 89009 | 0.771 | [-0.089, -0.057] med -0.073 | above band Δ+0.844 | 0.142 d4 | 0.0073 | 0.352 | absunresolvedtypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Coordinating conjunctions (and, or, and their equivalents in other languages like Chinese 和/与/或, Russian и/или, French et, Polish i, etc.) and commas used to connect items in lists or join parallel phrases/clauses. | neuronpedia · gemini-2.0-flash and | |
| best #50 | 37473 | 0.768 | [-0.079, -0.059] med -0.069 | above band Δ+0.837 | 0.135 d4 | 0.1910 | 0.557 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773/recovery_1934 · conf 92 Programming syntax tokens and delimiters (brackets, parentheses, operators, keywords) that mark structural boundaries or operations in code snippets across various programming languages and technical documentation. | neuronpedia · gemini-2.0-flash Code/Markup | |
| worst #1 | 2651 | -3.414 | [-0.139, -0.086] med -0.110 | below band Δ-3.304 | 0.185 d6 | 0.0073 | 0.310 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 75 Short character sequences (typically 2-4 characters) that form partial fragments or syllables within longer words, particularly in non-English languages including Romance languages, Asian languages, and other scripts, often appearing at morpheme or syllable boundaries. | neuronpedia · gemini-2.0-flash Foreign names | |
| worst #2 | 12614 | -2.741 | [-0.379, -0.184] med -0.256 | below band Δ-2.486 | 0.103 d2 | 0.0044 | 0.093 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Tokens that mark the start of list items, bullet points, enumerated steps, or structured elements in formatted text, including dashes, numbers, brackets, and keywords like 'def' that introduce organized content. | neuronpedia · gemini-2.0-flash Email/code sections | |
| worst #3 | 9694 | -2.499 | [-0.117, -0.066] med -0.095 | below band Δ-2.404 | 0.135 d4 | 0.0039 | 0.237 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 82 Short tokens (typically 1-4 characters) that function as abbreviations, suffixes, prefixes, or technical notation within formal, academic, or programming contexts across multiple languages. | neuronpedia · gemini-2.0-flash technical language snippets | |
| worst #4 | 9325 | -2.434 | [-0.148, -0.074] med -0.102 | below band Δ-2.333 | 0.113 d2 | 0.0083 | 0.273 | abslexical_semantictypetopicinterpyesspkrnone | issue_1773 · conf 95 Tokens representing health, healthcare, wellness, or medical-related concepts across multiple languages, typically appearing in contexts discussing healthcare systems, health monitoring, medical conditions, wellbeing, or health-related services. | neuronpedia · gemini-2.0-flash health | |
| worst #5 | 63861 | -1.494 | [-2.656, -0.577] med -0.809 | within band Δ-0.685 | 0.124 d3 | 0.0036 | 0.157 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 85 Whitespace or formatting tokens immediately following list markers (bullets, dashes, numbers) and preceding the actual content text in structured lists or enumerated items across multiple languages. | neuronpedia · gemini-2.0-flash > | |
| worst #6 | 44126 | -1.435 | [-0.373, -0.158] med -0.236 | below band Δ-1.199 | 0.328 d8 | 0.0066 | 0.283 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Tokens that are abbreviations, acronyms, technical identifiers (like variable names or API terms), proper name fragments, or word stems in non-English languages, typically appearing in technical, programming, or multilingual contexts. | neuronpedia · gemini-2.0-flash Kir | |
| worst #7 | 26526 | -1.167 | [-0.183, -0.099] med -0.123 | below band Δ-1.045 | 0.172 d5 | 0.0037 | 0.269 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 82 Word stems and roots that appear immediately before common suffixes or at morphological boundaries where suffixes attach, including both complete words that function as stems and partial words representing the root portion before derivational/inflectional endings. | neuronpedia · gemini-2.0-flash the ending -ly/-less/-ful/-ess | |
| worst #8 | 12193 | -1.108 | [-0.146, -0.090] med -0.117 | below band Δ-0.991 | 0.156 d5 | 0.0044 | 0.185 | abstoken_surfacetypesyntaxinterpyesspkrregister_style | issue_1773 · conf 85 Suffixes that form abstract nouns or technical terms, particularly noun-forming morphemes like -tion, -ment, -ization, -ness in formal or technical writing contexts across multiple languages. | neuronpedia · gemini-2.0-flash ending in "ation" | |
| worst #9 | 100028 | -1.091 | [-0.080, -0.053] med -0.061 | below band Δ-1.030 | 0.122 d3 | 0.0038 | 0.220 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 85 Short character sequences (2-4 characters) that form parts of words in non-English languages, particularly capturing mid-word fragments in multilingual text including Romance languages, Germanic languages, Slavic languages, Asian languages, and Arabic. | neuronpedia · gemini-2.0-flash names and companies | |
| worst #10 | 120851 | -1.024 | [-3.659, -0.213] med -0.489 | within band Δ-0.535 | 0.115 d3 | 0.0047 | 0.160 | absabstract_contextualtypesyntaxinterpyesspkrlanguage | issue_1773 · conf 75 Non-English tokens (particularly in Chinese, Russian, Japanese, Vietnamese, Portuguese, Italian) that serve connective, explanatory, or functional grammatical roles, often appearing at transitional points in sentences or as parts of technical/formal vocabulary. | neuronpedia · gemini-2.0-flash Pen | |
| worst #11 | 125093 | -0.883 | [-0.129, -0.084] med -0.104 | below band Δ-0.779 | 0.226 d7 | 0.0056 | 0.377 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Subword units, morphemes, or short complete words that function as meaningful components within technical documentation, programming code, or multilingual text, including variable name suffixes, linguistic particles, domain-specific terminology fragments, and structural elements. | neuronpedia · gemini-2.0-flash code | |
| worst #12 | 77640 | -0.687 | [-0.195, -0.072] med -0.114 | below band Δ-0.573 | 0.111 d2 | 0.0074 | 0.239 | abslexical_semantictypetopicinterpnospkrnone | issue_1773 · conf 92 Tokens that are the word 'red' or its variants in multiple languages, or tokens that are part of words/phrases associated with red, pink, orange, or warm colors, including descriptions of objects, emotions, or visual scenes involving these hues. | neuronpedia · gemini-2.0-flash 0 | |
| worst #13 | 114631 | -0.630 | [-0.166, -0.080] med -0.121 | below band Δ-0.509 | 0.164 d5 | 0.0049 | 0.209 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Internal word fragments, syllables, or morpheme components that appear as meaningful subword segments within longer words across multiple languages, often representing common letter sequences, roots, or morphological parts (like 'str-' in English compound words or syllabic fragments in non-Latin scripts). | neuronpedia · gemini-2.0-flash Str | |
| worst #14 | 59146 | -0.611 | [-0.234, -0.085] med -0.102 | below band Δ-0.509 | 0.122 d3 | 0.0072 | 0.194 | absabstract_contextualtypeoperationinterpnospkrnone | issue_1773 · conf 85 Tokens that express or introduce commonality, shared properties, unifying concepts, or systematic connections between multiple elements, including words like 'common', '共同' (shared), and structural markers that signal explanatory synthesis. | neuronpedia · gemini-2.0-flash thread | |
| worst #15 | 17336 | -0.561 | [-0.132, -0.080] med -0.093 | below band Δ-0.468 | 0.111 d2 | 0.0041 | 0.248 | abslexical_semantictypeunresolvedinterpyesspkrnone | issue_1773 · conf 85 Morphemes and word fragments expressing concepts of 'higher', 'superior', 'elevated', 'increase', or vertical position (above/below) across multiple languages, particularly in Chinese, Russian, and European languages. | neuronpedia · gemini-2.0-flash higher | |
| worst #16 | 111464 | -0.555 | [-0.113, -0.070] med -0.089 | below band Δ-0.465 | 0.116 d3 | 0.0056 | 0.380 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 82 Word endings, suffixes, or final portions of multi-token identifiers, particularly in programming variable/function names (snake_case, camelCase) and technical terminology across multiple languages. | neuronpedia · gemini-2.0-flash code | |
| worst #17 | 95808 | -0.553 | [-0.719, -0.290] med -0.447 | within band Δ-0.105 | 0.111 d2 | 0.0040 | 0.075 | abstoken_surfacetypeoperationinterpyesspkrnone | issue_1773 · conf 92 Numeric digits that function as list item numbers, section indicators, or hierarchical labels in structured or enumerated content, typically appearing at the beginning of list items or subsections. | neuronpedia · gemini-2.0-flash 1 | |
| worst #18 | 18814 | -0.527 | [-0.360, -0.157] med -0.214 | below band Δ-0.313 | 0.139 d4 | 0.0053 | 0.181 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Short tokens (single characters, numbers, or brief words) that serve as intermediate or connective elements within longer sequences, appearing in technical, procedural, or structured contexts rather than at prominent sentence boundaries. | neuronpedia · gemini-2.0-flash non-English words | |
| worst #19 | 121249 | -0.522 | [-0.268, -0.125] med -0.193 | below band Δ-0.328 | 0.108 d2 | 0.0048 | 0.117 | abslexical_semantictypeunresolvedinterpyesspkrnone | issue_1773 · conf 85 Words and morphemes meaning 'hold', 'maintain', 'keep', 'grasp', 'contain', or related concepts of physical or abstract holding/maintaining across multiple languages. | neuronpedia · gemini-2.0-flash hold | |
| worst #20 | 67097 | -0.463 | [-0.176, -0.091] med -0.109 | below band Δ-0.353 | 0.157 d5 | 0.0095 | 0.172 | absabstract_contextualtypeoperationinterpnospkrnone | issue_1773 · conf 45 Tokens that are neutral or positive in connotation and are not associated with downward movement, decline, or negative directionality (the feature suppresses 'down' and related terms). | neuronpedia · gemini-2.0-flash statistical relationships | |
| worst #21 | 128323 | -0.450 | [-0.435, -0.115] med -0.248 | below band Δ-0.201 | 0.122 d3 | 0.0056 | 0.106 | abslexical_semantictypetopicinterpyesspkrnone | issue_1773 · conf 85 Tokens or morphemes that express the concept of 'right', 'correct', 'proper', 'truth', or 'righteousness' across multiple languages (English, Spanish, Chinese, Russian, German, Indonesian), including directional uses of 'right', legal/moral rights, and correctness. | neuronpedia no description | |
| worst #22 | 50718 | -0.447 | [-0.227, -0.118] med -0.163 | below band Δ-0.284 | 0.106 d2 | 0.0063 | 0.198 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Punctuation marks, symbols, and formatting delimiters (hyphens, parentheses, brackets, equals signs, colons, periods, commas, asterisks, backticks) that serve as syntactic or structural elements in code, mathematical notation, technical documentation, or structured text formats. | neuronpedia · gemini-2.0-flash code and equations | |
| worst #23 | 115170 | -0.435 | [-0.342, -0.100] med -0.141 | below band Δ-0.294 | 0.142 d4 | 0.0053 | 0.087 | abstoken_surfacetypetopicinterpnospkrnone | issue_1773 · conf 85 Words or morphemes meaning 'true', 'real', 'genuine', 'truly', or expressing concepts of truthfulness, authenticity, and reality across multiple languages. | neuronpedia · gemini-2.0-flash True | |
| worst #24 | 18264 | -0.427 | [-0.375, -0.128] med -0.203 | below band Δ-0.225 | 0.114 d2 | 0.0039 | 0.162 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Short, common tokens that serve structural, grammatical, or formatting functions rather than carrying primary semantic content, including single characters, punctuation marks, syllables, brief function words, and programming syntax elements across multiple languages. | neuronpedia · gemini-2.0-flash Code snippets and formatting | |
| worst #25 | 110357 | -0.412 | [-0.107, -0.077] med -0.092 | below band Δ-0.320 | 0.107 d2 | 0.0039 | 0.231 | abstoken_surfacetypesyntaxinterpyesspkrregister_style | issue_1773 · conf 85 Greek or Latin-derived prefixes and affixes that indicate scale (mini-, micro-, macro-, multi-), opposition (anti-), position (mono-), or other technical modifiers (eco-, neo-, meta-, ultra-) in formal, technical, or scientific terminology across multiple languages. | neuronpedia · gemini-2.0-flash multi | |
| worst #26 | 23999 | -0.392 | [-0.111, -0.072] med -0.086 | below band Δ-0.306 | 0.441 d9 | 0.0061 | 0.367 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Punctuation marks and single characters that function as delimiters, separators, or structural boundaries between clauses, list items, or text segments across multiple languages. | neuronpedia · gemini-2.0-flash commas | |
| worst #27 | 113039 | -0.389 | [-1.258, -0.135] med -0.323 | within band Δ-0.067 | 0.109 d2 | 0.0049 | 0.143 | abslexical_semantictypetopicinterpyesspkrnone | issue_1773 · conf 95 Words and morphemes meaning 'middle', 'medium', 'moderate', 'central', 'average', 'intermediate', or 'balance' across multiple languages, indicating concepts of middling position, moderate degree, or balanced state rather than extremes. | neuronpedia · gemini-2.0-flash medium | |
| worst #28 | 10924 | -0.388 | [-0.088, -0.059] med -0.073 | below band Δ-0.315 | 0.121 d3 | 0.0040 | 0.185 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 82 Tokens appearing in multilingual text, code snippets, technical documentation, or at language/script boundaries, particularly where non-English characters or formatting syntax are present in the surrounding context. | neuronpedia · gemini-2.0-flash random snippets of text | |
| worst #29 | 130136 | -0.387 | [-0.346, -0.199] med -0.256 | below band Δ-0.131 | 0.310 d8 | 0.0050 | 0.314 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Tokens appearing at the end of sentences, paragraphs, or sections immediately before structural breaks, formatting transitions, or new sections begin, serving as textual boundary markers across multiple languages. | neuronpedia no description | |
| worst #30 | 74015 | -0.382 | [-0.099, -0.071] med -0.087 | below band Δ-0.295 | 0.106 d2 | 0.0043 | 0.198 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Suffixes and word-endings that denote professional roles, specialists, experts, artistic/philosophical movements, or ideological positions, particularly '-ist', '-ists', '-ism', and their equivalents in other languages. | neuronpedia · gemini-2.0-flash ist | |
| worst #31 | 119180 | -0.364 | [-0.073, -0.049] med -0.061 | below band Δ-0.303 | 0.232 d7 | 0.0069 | 0.445 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773/recovery_1934 · conf 75 Word stems, roots, or fragments that form or are part of descriptive words expressing qualities, emotions, states, characteristics, or properties, particularly those that can take adjectival or noun-forming suffixes. | neuronpedia · gemini-2.0-flash describing textures | |
| worst #32 | 100439 | -0.338 | [-0.205, -0.128] med -0.160 | below band Δ-0.178 | 0.125 d3 | 0.0057 | 0.122 | abstoken_surfacetypesyntaxinterpyesspkrlanguage | issue_1773 · conf 72 Non-English tokens or grammatical morphemes in multilingual text, including function words, verb conjugations, and common vocabulary items across Romance, Germanic, Slavic, and Asian languages. | neuronpedia · gemini-2.0-flash legal disclaimers | |
| worst #33 | 29377 | -0.336 | [-0.316, -0.072] med -0.125 | below band Δ-0.211 | 0.138 d4 | 0.0052 | 0.210 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Partial word fragments or syllables, particularly within proper nouns, technical terms, or foreign language words embedded in multilingual text contexts, where tokenization breaks words into non-standard subword units. | neuronpedia · gemini-2.0-flash Nor | |
| worst #34 | 13653 | -0.334 | [-0.093, -0.061] med -0.071 | below band Δ-0.263 | 0.144 d4 | 0.0063 | 0.222 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Grammatical function tokens, word fragments, and morphological continuations that serve structural rather than primary semantic roles, including articles, particles, suffixes, and mid-word segments across multiple languages. | neuronpedia · gemini-2.0-flash the/a | |
| worst #35 | 92405 | -0.333 | [-0.341, -0.121] med -0.203 | within band Δ-0.131 | 0.104 d2 | 0.0044 | 0.138 | abstoken_surfacetypesyntaxinterpnospkrlanguage | issue_1773 · conf 72 Subword tokens or morphemes that form meaningful components of larger words across multiple languages, particularly including fragments related to legal/legislative terms, words for 'legend/legacy', body parts (legs), and significant word stems in Chinese, Romance languages, English, Russian, and Arabic. | neuronpedia · gemini-2.0-flash Leg | |
| worst #36 | 51286 | -0.333 | [-0.065, -0.046] med -0.060 | below band Δ-0.273 | 0.127 d3 | 0.0201 | 0.228 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 72 Tokens that represent continuations, alternatives, or additional options in their context, including: parts of words being completed, translation equivalents in multilingual text, alternative phrasings, code syntax completions, or technical term extensions. | neuronpedia · gemini-2.0-flash foreign words | |
| worst #37 | 59809 | -0.328 | [-0.640, -0.253] med -0.316 | within band Δ-0.012 | 0.198 d6 | 0.0074 | 0.224 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Short token fragments (1-3 characters) that are subword pieces within longer words in non-English languages, proper nouns, or whitespace tokens in code, often representing incomplete morphological units within multilingual text. | neuronpedia · gemini-2.0-flash code and articles | |
| worst #38 | 54388 | -0.321 | [-0.343, -0.159] med -0.217 | within band Δ-0.104 | 0.265 d7 | 0.0046 | 0.180 | abslexical_semantictypesyntaxinterpyesspkrlanguage | issue_1773 · conf 75 Content words and meaningful morphemes in non-English text, particularly Chinese characters carrying semantic meaning (nouns, verbs, technical terms), as well as substantive vocabulary in Spanish, Portuguese, Russian, and other languages. | neuronpedia · gemini-2.0-flash technical/academic text | |
| worst #39 | 20416 | -0.321 | [-0.106, -0.055] med -0.063 | below band Δ-0.258 | 0.134 d4 | 0.0060 | 0.077 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Tokens that are word-internal or directly attached to the preceding text without whitespace, including word continuations in various languages, code syntax elements, and non-space-separated segments in multilingual contexts. | neuronpedia · gemini-2.0-flash code snippets | |
| worst #40 | 57047 | -0.297 | [-0.384, -0.142] med -0.234 | within band Δ-0.063 | 0.141 d4 | 0.0050 | 0.142 | abslexical_semantictypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Words and morphemes meaning 'general', 'universal', 'common', 'comprehensive', or 'typical' across multiple languages (English, Chinese, Portuguese, Italian, Russian, Japanese, French, etc.). | neuronpedia · gemini-2.0-flash General | |
| worst #41 | 37982 | -0.295 | [-0.144, -0.098] med -0.122 | below band Δ-0.174 | 0.159 d5 | 0.0054 | 0.198 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 92 Tokens that are parts of words containing negative prefixes (un-, non-, im-) or negation-related morphemes across multiple languages, typically appearing at the boundary where the negative prefix joins the root word. | neuronpedia · gemini-2.0-flash Negative prefixes | |
| worst #42 | 50294 | -0.287 | [-0.372, -0.194] med -0.233 | within band Δ-0.054 | 0.419 d9 | 0.0075 | 0.148 | absabstract_contextualtypesyntaxinterpnospkrnone | issue_1773 · conf 45 Function words, grammatical morphemes, abstract concepts, and semantically light tokens including pronouns, modal verbs, conjunctions, suffixes, punctuation, digits, and word fragments rather than concrete content-bearing nouns or verbs. | neuronpedia · gemini-2.0-flash 3 | |
| worst #43 | 62489 | -0.282 | [-0.172, -0.068] med -0.108 | below band Δ-0.174 | 0.177 d5 | 0.0062 | 0.317 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 95 Pronouns (personal, possessive, reflexive) across multiple languages that refer to specific entities mentioned in the context. | neuronpedia · gemini-2.0-flash you | |
| worst #44 | 115291 | -0.281 | [-0.281, -0.171] med -0.219 | below band Δ-0.062 | 0.129 d3 | 0.0066 | 0.192 | absabstract_contextualtypeoperationinterpyesspkrnone | issue_1773 · conf 82 Tokens representing ordinal numbers, list indices, sequential identifiers, or discrete labels within structured contexts such as enumerated lists, code arrays, step-by-step instructions, or categorical references. | neuronpedia · gemini-2.0-flash digits" | |
| worst #45 | 22847 | -0.280 | [-0.868, -0.169] med -0.378 | within band Δ+0.098 | 0.109 d2 | 0.0059 | 0.203 | abslexical_semantictypeoperationinterpnospkrnone | issue_1773 · conf 95 Words and morphemes meaning 'select', 'choose', or 'selection' across multiple languages (English, Chinese, Russian, Vietnamese, Korean, Turkish, Japanese, Spanish), including SQL SELECT commands and technical contexts involving selection operations. | neuronpedia · gemini-2.0-flash select | |
| worst #46 | 46785 | -0.278 | [-0.088, -0.048] med -0.057 | below band Δ-0.220 | 0.316 d8 | 0.0050 | 0.251 | abstoken_surfacetypesyntaxinterpnospkrlanguage | issue_1773 · conf 72 Tokens that are word fragments, syllables, or short words appearing in multilingual text (especially Cyrillic, Chinese, Arabic transliterations) or technical/code contexts, often representing morphemes or syntax elements in non-English languages or programming code. | neuronpedia · gemini-2.0-flash sorting numbers | |
| worst #47 | 28658 | -0.275 | [-0.209, -0.097] med -0.139 | below band Δ-0.136 | 0.139 d4 | 0.0076 | 0.194 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 75 Tokens that serve as suffixes, file extensions, technical abbreviations, closing delimiters, or components completing technical identifiers in structured text like code, mathematical expressions, filenames, and domain-specific terminology. | neuronpedia · gemini-2.0-flash code | |
| worst #48 | 88027 | -0.270 | [-0.274, -0.188] med -0.225 | within band Δ-0.045 | 0.126 d3 | 0.0059 | 0.167 | abstoken_surfacetypeoperationinterpyesspkrnone | issue_1773 · conf 95 The token marks the numeral '1' or equivalent formatting at the beginning of the first item in a numbered list or enumerated sequence across various languages and document formats. | neuronpedia · gemini-2.0-flash 1 | |
| worst #49 | 50666 | -0.268 | [-0.179, -0.072] med -0.100 | below band Δ-0.168 | 0.134 d4 | 0.0077 | 0.179 | absabstract_contextualtypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Tokens that are being referenced as themselves, used as identifiers or variables, repeated literally, or appearing in self-referential or technical/notational contexts where the token's form rather than meaning is emphasized. | neuronpedia · gemini-2.0-flash code | |
| worst #50 | 80486 | -0.265 | [-0.121, -0.090] med -0.103 | below band Δ-0.161 | 0.453 d9 | 0.0082 | 0.306 | abstoken_surfacetypesyntaxinterpyesspkrnone | issue_1773 · conf 72 Mid-sequence tokens that occur within words, identifiers, or code constructs across multiple programming languages and natural languages, excluding tokens at clear sentence or statement boundaries. | neuronpedia · gemini-2.0-flash research papers | |
|
Columns.
R² per-feature held-out R² of the context→answer ridge map
(8,192→16,384, λ=10,000, 120,000 fit /
20,000 held-out contexts).
Null 95% band that feature's own 2.5–97.5 percentile shuffle-null interval;
vs null is the observed value's position relative to it and Δ its distance from the
null median.
Activity fraction of contexts in which the feature is answer-active (d = activity decile
within the modelled set).
Consistency consistency = mean over fit-tagged contexts where the feature is answer-active of ans_frac (fraction of the answer's tokens where the feature is active); n8 variant restricts to contexts with >= 8 answer tokens.
Spearman rank correlation between predicted and true feature value across held-out contexts.
Axis labels come from issue #1773 (5 judge draws per feature—axis, majority label shown; hover for the surviving-draw count). Reliability: abstraction κ=0.682, content_type κ=0.665, interpretable κ=0.65, speaker_property κ=0.512. The functional_role axis is
retired (κ=0.31) and is excluded from this page entirely.
Descriptions are two independent sources: issue #1773 (Claude-written, merged with the recovery_1934 re-run — recovered rows replace originals) and NeuronPedia (gemini-2.0-flash, cached export). Coverage over the 100 listed features: #1773 100/100, NeuronPedia 95/100; axis labels abstraction 100/100, content_type 100/100, interpretable 100/100, speaker_property 100/100. Provenance. Fit artifacts eval_results/issue_1482/sae_perfeature/ @
0ca8e37f72; page built 2026-08-04T20:43:02Z @ 6991fe66fc.
Model qwen2.5-7b-it, SAE 19-resid-post-aa.
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