Best- and worst-predicted answer-side SAE features — issue #1482

Top 50 and bottom 50 answer-side SAE features ranked by per-feature held-out R² of the context→answer ridge map (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.
Selection rule. Ranking is restricted to features with activity ≥ 0.10 (active on the answer side in at least 10% of contexts): 13,279 of the 16,384 modelled features are eligible. This is a second floor on top of the fit-time floor that already selected the 16,384 modelled features out of the full dictionary.
No corpus text. This page carries model-written feature descriptions and numeric correlates only — no dataset rows, no max-activating example strings, no user-corpus quotes. Follow the NeuronPedia link for activating examples.
pooled R² (context arm)0.6901
modelled features16,384
eligible for ranking13,279
held-out contexts20,000
ridge λ10,000
split-half rank stability0.914
ρ(consistency, R²)0.600
ρ(activity, R²)0.293
100 of 100 features shown
Rank Feature R² vs null (−1…1) Null 95% band vs null Activity Consistency Spearman Axis labels Description — issue #1773 Description — NeuronPedia
best #11028980.948
[-0.092, -0.063]
med -0.078
above band
Δ+1.026
0.125
d3
0.03040.403absabstract_contextualtypesyntaxinterpyesspkrregister_styleissue_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 #2200790.943
[-0.082, -0.059]
med -0.069
above band
Δ+1.012
0.136
d4
0.00560.513abstoken_surfacetypetask_formatinterpyesspkrnoneissue_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 #3511260.906
[-0.081, -0.052]
med -0.067
above band
Δ+0.973
0.368
d8
0.63600.739absabstract_contextualtypesyntaxinterpnospkrlanguageissue_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 #4479830.904
[-0.089, -0.064]
med -0.077
above band
Δ+0.980
0.141
d4
0.00650.497abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #5330030.885
[-0.072, -0.045]
med -0.065
above band
Δ+0.950
0.101
d1
0.27510.274abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #6487750.867
[-0.084, -0.059]
med -0.065
above band
Δ+0.932
0.619
d9
0.14640.516absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #71187470.864
[-0.089, -0.060]
med -0.072
above band
Δ+0.936
0.107
d2
0.01200.274absabstract_contextualtypetopicinterpyesspkrnoneissue_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 #8312060.860
[-0.082, -0.051]
med -0.068
above band
Δ+0.928
0.221
d7
0.08780.495absabstract_contextualtypesyntaxinterpyesspkrlanguageissue_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 #9602540.857
[-0.085, -0.059]
med -0.071
above band
Δ+0.927
0.146
d4
0.38730.347abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #10176530.855
[-0.085, -0.059]
med -0.072
above band
Δ+0.927
0.134
d4
0.47430.360abstoken_surfacetypesyntaxinterpnospkrlanguageissue_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 #11553890.852
[-0.079, -0.058]
med -0.070
above band
Δ+0.922
0.243
d7
0.50490.545abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #12944510.846
[-0.093, -0.064]
med -0.078
above band
Δ+0.924
0.146
d4
0.00710.441abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #13705870.830
[-0.081, -0.059]
med -0.069
above band
Δ+0.900
0.120
d3
0.02450.354absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #14880210.829
[-0.079, -0.059]
med -0.072
above band
Δ+0.902
0.158
d5
0.22330.552abslexical_semantictypesyntaxinterpyesspkrlanguageissue_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 #15961890.829
[-0.097, -0.064]
med -0.076
above band
Δ+0.905
0.111
d2
0.05140.169abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #16470300.825
[-0.084, -0.055]
med -0.069
above band
Δ+0.893
0.952
d9
0.52820.908absabstract_contextualtypesyntaxinterpnospkrregister_styleissue_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 #171133620.823
[-0.088, -0.062]
med -0.077
above band
Δ+0.900
0.297
d8
0.07940.367absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #18532130.822
[-0.082, -0.048]
med -0.065
above band
Δ+0.888
0.137
d4
0.11020.296absabstract_contextualtypetask_formatinterpnospkrlanguageissue_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 #19698010.819
[-0.078, -0.058]
med -0.070
above band
Δ+0.889
0.166
d5
0.19400.554abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #20458050.819
[-0.081, -0.057]
med -0.066
above band
Δ+0.885
0.916
d9
0.11820.786abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #21329090.816
[-0.093, -0.053]
med -0.070
above band
Δ+0.885
0.118
d3
0.12650.251abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #22104960.815
[-0.093, -0.063]
med -0.075
above band
Δ+0.890
0.139
d4
0.00900.322abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #23680480.814
[-0.085, -0.060]
med -0.069
above band
Δ+0.883
0.119
d3
0.07480.396abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #241236980.811
[-0.077, -0.058]
med -0.071
above band
Δ+0.882
0.161
d5
0.18140.564absabstract_contextualtypesyntaxinterpyesspkrlanguageissue_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 #25834770.809
[-0.079, -0.060]
med -0.072
above band
Δ+0.881
0.177
d5
0.17420.555abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #261265130.809
[-0.090, -0.069]
med -0.079
above band
Δ+0.888
0.149
d4
0.03610.461abslexical_semantictypetopicinterpyesspkrnoneissue_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 #27420760.800
[-0.085, -0.056]
med -0.068
above band
Δ+0.868
0.737
d9
0.04720.688abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #28372220.799
[-0.082, -0.059]
med -0.075
above band
Δ+0.874
0.432
d9
0.02590.683abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #29240340.796
[-0.064, -0.040]
med -0.052
above band
Δ+0.848
0.127
d3
0.02090.238abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #30247080.796
[-0.081, -0.062]
med -0.070
above band
Δ+0.866
1.000
d9
0.99320.898absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #311275890.795
[-0.079, -0.057]
med -0.070
above band
Δ+0.865
0.160
d5
0.08750.553abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #32732210.791
[-0.080, -0.057]
med -0.072
above band
Δ+0.864
0.198
d6
0.27540.458abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #33143330.790
[-0.075, -0.057]
med -0.068
above band
Δ+0.858
0.154
d5
0.06880.541abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #34414760.788
[-0.145, -0.082]
med -0.110
above band
Δ+0.898
0.107
d2
0.00820.216abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #35880970.787
[-0.081, -0.060]
med -0.071
above band
Δ+0.858
0.211
d6
0.22540.532abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #36329230.785
[-0.077, -0.062]
med -0.070
above band
Δ+0.855
0.129
d3
0.00770.401absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #37244510.785
[-0.096, -0.070]
med -0.081
above band
Δ+0.866
0.101
d1
0.00540.329absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #38574590.784
[-0.081, -0.053]
med -0.064
above band
Δ+0.847
0.989
d9
0.33080.826absabstract_contextualtypesyntaxinterpnospkrlanguageissue_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 #391279800.783
[-0.082, -0.049]
med -0.066
above band
Δ+0.850
0.106
d2
0.22530.321absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #40139340.783
[-0.066, -0.041]
med -0.053
above band
Δ+0.836
0.247
d7
0.02050.359abslexical_semantictypeentityinterpyesspkrnoneissue_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 #41361720.783
[-0.082, -0.054]
med -0.071
above band
Δ+0.853
0.271
d7
0.09390.649absabstract_contextualtypesyntaxinterpyesspkrlanguageissue_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 #42814440.782
[-0.090, -0.061]
med -0.070
above band
Δ+0.852
0.181
d6
0.02510.359absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #43424250.781
[-0.085, -0.063]
med -0.074
above band
Δ+0.855
0.680
d9
0.18480.737abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #44483760.780
[-0.080, -0.060]
med -0.072
above band
Δ+0.851
0.895
d9
0.32490.855abstoken_surfacetypesyntaxinterpnospkrnoneissue_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 #4525640.775
[-0.083, -0.061]
med -0.068
above band
Δ+0.844
0.173
d5
0.11710.332absabstract_contextualtypesyntaxinterpnospkrregister_styleissue_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 #46665030.773
[-0.080, -0.052]
med -0.070
above band
Δ+0.843
0.122
d3
0.12270.546absabstract_contextualtypesyntaxinterpyesspkrlanguageissue_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 #47946060.772
[-0.079, -0.063]
med -0.069
above band
Δ+0.841
0.909
d9
0.10170.812abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #4840570.771
[-0.076, -0.058]
med -0.068
above band
Δ+0.839
0.101
d2
0.02430.348abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #49890090.771
[-0.089, -0.057]
med -0.073
above band
Δ+0.844
0.142
d4
0.00730.352absunresolvedtypesyntaxinterpyesspkrnoneissue_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 #50374730.768
[-0.079, -0.059]
med -0.069
above band
Δ+0.837
0.135
d4
0.19100.557abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #12651-3.414
[-0.139, -0.086]
med -0.110
below band
Δ-3.304
0.185
d6
0.00730.310abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #212614-2.741
[-0.379, -0.184]
med -0.256
below band
Δ-2.486
0.103
d2
0.00440.093abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #39694-2.499
[-0.117, -0.066]
med -0.095
below band
Δ-2.404
0.135
d4
0.00390.237abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #49325-2.434
[-0.148, -0.074]
med -0.102
below band
Δ-2.333
0.113
d2
0.00830.273abslexical_semantictypetopicinterpyesspkrnoneissue_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 #563861-1.494
[-2.656, -0.577]
med -0.809
within band
Δ-0.685
0.124
d3
0.00360.157abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #644126-1.435
[-0.373, -0.158]
med -0.236
below band
Δ-1.199
0.328
d8
0.00660.283abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #726526-1.167
[-0.183, -0.099]
med -0.123
below band
Δ-1.045
0.172
d5
0.00370.269abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #812193-1.108
[-0.146, -0.090]
med -0.117
below band
Δ-0.991
0.156
d5
0.00440.185abstoken_surfacetypesyntaxinterpyesspkrregister_styleissue_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 #9100028-1.091
[-0.080, -0.053]
med -0.061
below band
Δ-1.030
0.122
d3
0.00380.220abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #10120851-1.024
[-3.659, -0.213]
med -0.489
within band
Δ-0.535
0.115
d3
0.00470.160absabstract_contextualtypesyntaxinterpyesspkrlanguageissue_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 #11125093-0.883
[-0.129, -0.084]
med -0.104
below band
Δ-0.779
0.226
d7
0.00560.377abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #1277640-0.687
[-0.195, -0.072]
med -0.114
below band
Δ-0.573
0.111
d2
0.00740.239abslexical_semantictypetopicinterpnospkrnoneissue_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 #13114631-0.630
[-0.166, -0.080]
med -0.121
below band
Δ-0.509
0.164
d5
0.00490.209abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #1459146-0.611
[-0.234, -0.085]
med -0.102
below band
Δ-0.509
0.122
d3
0.00720.194absabstract_contextualtypeoperationinterpnospkrnoneissue_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 #1517336-0.561
[-0.132, -0.080]
med -0.093
below band
Δ-0.468
0.111
d2
0.00410.248abslexical_semantictypeunresolvedinterpyesspkrnoneissue_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 #16111464-0.555
[-0.113, -0.070]
med -0.089
below band
Δ-0.465
0.116
d3
0.00560.380abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #1795808-0.553
[-0.719, -0.290]
med -0.447
within band
Δ-0.105
0.111
d2
0.00400.075abstoken_surfacetypeoperationinterpyesspkrnoneissue_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 #1818814-0.527
[-0.360, -0.157]
med -0.214
below band
Δ-0.313
0.139
d4
0.00530.181abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #19121249-0.522
[-0.268, -0.125]
med -0.193
below band
Δ-0.328
0.108
d2
0.00480.117abslexical_semantictypeunresolvedinterpyesspkrnoneissue_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 #2067097-0.463
[-0.176, -0.091]
med -0.109
below band
Δ-0.353
0.157
d5
0.00950.172absabstract_contextualtypeoperationinterpnospkrnoneissue_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 #21128323-0.450
[-0.435, -0.115]
med -0.248
below band
Δ-0.201
0.122
d3
0.00560.106abslexical_semantictypetopicinterpyesspkrnoneissue_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 #2250718-0.447
[-0.227, -0.118]
med -0.163
below band
Δ-0.284
0.106
d2
0.00630.198abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #23115170-0.435
[-0.342, -0.100]
med -0.141
below band
Δ-0.294
0.142
d4
0.00530.087abstoken_surfacetypetopicinterpnospkrnoneissue_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 #2418264-0.427
[-0.375, -0.128]
med -0.203
below band
Δ-0.225
0.114
d2
0.00390.162abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #25110357-0.412
[-0.107, -0.077]
med -0.092
below band
Δ-0.320
0.107
d2
0.00390.231abstoken_surfacetypesyntaxinterpyesspkrregister_styleissue_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 #2623999-0.392
[-0.111, -0.072]
med -0.086
below band
Δ-0.306
0.441
d9
0.00610.367abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #27113039-0.389
[-1.258, -0.135]
med -0.323
within band
Δ-0.067
0.109
d2
0.00490.143abslexical_semantictypetopicinterpyesspkrnoneissue_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 #2810924-0.388
[-0.088, -0.059]
med -0.073
below band
Δ-0.315
0.121
d3
0.00400.185absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #29130136-0.387
[-0.346, -0.199]
med -0.256
below band
Δ-0.131
0.310
d8
0.00500.314absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #3074015-0.382
[-0.099, -0.071]
med -0.087
below band
Δ-0.295
0.106
d2
0.00430.198abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #31119180-0.364
[-0.073, -0.049]
med -0.061
below band
Δ-0.303
0.232
d7
0.00690.445abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #32100439-0.338
[-0.205, -0.128]
med -0.160
below band
Δ-0.178
0.125
d3
0.00570.122abstoken_surfacetypesyntaxinterpyesspkrlanguageissue_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 #3329377-0.336
[-0.316, -0.072]
med -0.125
below band
Δ-0.211
0.138
d4
0.00520.210abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #3413653-0.334
[-0.093, -0.061]
med -0.071
below band
Δ-0.263
0.144
d4
0.00630.222absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #3592405-0.333
[-0.341, -0.121]
med -0.203
within band
Δ-0.131
0.104
d2
0.00440.138abstoken_surfacetypesyntaxinterpnospkrlanguageissue_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 #3651286-0.333
[-0.065, -0.046]
med -0.060
below band
Δ-0.273
0.127
d3
0.02010.228absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #3759809-0.328
[-0.640, -0.253]
med -0.316
within band
Δ-0.012
0.198
d6
0.00740.224abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #3854388-0.321
[-0.343, -0.159]
med -0.217
within band
Δ-0.104
0.265
d7
0.00460.180abslexical_semantictypesyntaxinterpyesspkrlanguageissue_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 #3920416-0.321
[-0.106, -0.055]
med -0.063
below band
Δ-0.258
0.134
d4
0.00600.077abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #4057047-0.297
[-0.384, -0.142]
med -0.234
within band
Δ-0.063
0.141
d4
0.00500.142abslexical_semantictypesyntaxinterpyesspkrnoneissue_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 #4137982-0.295
[-0.144, -0.098]
med -0.122
below band
Δ-0.174
0.159
d5
0.00540.198abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #4250294-0.287
[-0.372, -0.194]
med -0.233
within band
Δ-0.054
0.419
d9
0.00750.148absabstract_contextualtypesyntaxinterpnospkrnoneissue_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 #4362489-0.282
[-0.172, -0.068]
med -0.108
below band
Δ-0.174
0.177
d5
0.00620.317absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #44115291-0.281
[-0.281, -0.171]
med -0.219
below band
Δ-0.062
0.129
d3
0.00660.192absabstract_contextualtypeoperationinterpyesspkrnoneissue_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 #4522847-0.280
[-0.868, -0.169]
med -0.378
within band
Δ+0.098
0.109
d2
0.00590.203abslexical_semantictypeoperationinterpnospkrnoneissue_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 #4646785-0.278
[-0.088, -0.048]
med -0.057
below band
Δ-0.220
0.316
d8
0.00500.251abstoken_surfacetypesyntaxinterpnospkrlanguageissue_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 #4728658-0.275
[-0.209, -0.097]
med -0.139
below band
Δ-0.136
0.139
d4
0.00760.194abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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 #4888027-0.270
[-0.274, -0.188]
med -0.225
within band
Δ-0.045
0.126
d3
0.00590.167abstoken_surfacetypeoperationinterpyesspkrnoneissue_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 #4950666-0.268
[-0.179, -0.072]
med -0.100
below band
Δ-0.168
0.134
d4
0.00770.179absabstract_contextualtypesyntaxinterpyesspkrnoneissue_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 #5080486-0.265
[-0.121, -0.090]
med -0.103
below band
Δ-0.161
0.453
d9
0.00820.306abstoken_surfacetypesyntaxinterpyesspkrnoneissue_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.