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    EXPLANATION TYPE
    oai_token-act-pair
    Description
    OpenAI's Automated Interpretability from paper "Language models can explain neurons in language models". Modified by Johnny Lin to add new models/context windows.
    Author
    OpenAI
    URL
    https://github.com/hijohnnylin/automated-interpretability
    Settings
    Default prompts from the main branch, strategy TokenActivationPair. Uses top 10 deduplicated activations.
    Recent Explanations
    The neuron detects mentions of specific internal organs or discussions of organ-related medical conditions.
    gpt-5-mini
    ney cysts, pancreatic cyst
    Neuronpedia logo
    OLMO-3-1025-7B
    16-RES-MATRYOSHKA-65K
    INDEX 42
    The neuron responds to single-letter tokens (especially "w" and "x") and words/tokens that begin with those letters.
    gpt-5-mini
    aisberg DR, Abdala
    Neuronpedia logo
    OLMO-3-1025-7B
    16-RES-MATRYOSHKA-65K
    INDEX 645
    The neuron detects mentions of abdominal and laparoscopic surgical terms (e.g., tokens making up "laparoscopic", "laparotomy", "abdominal", etc.).
    gpt-5-mini
    standard 3-port laparoscopic appendectomy: long
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    OLMO-3-1025-7B
    16-RES-MATRYOSHKA-65K
    INDEX 2359
    phrases indicating a deep, detailed examination or an invitation to look closely (in-depth analysis).
    gpt-5-mini
    today. Taking a deep dive into data and trends within
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    OLMO-3-1025-7B
    16-RES-MATRYOSHKA-65K
    INDEX 56345
    The neuron detects tokens that appear at the start of the model/assistant's responses—especially the conversational acknowledgement "Okay" or other assistant-turn opening tokens.
    gpt-5-mini
    based on a 30-year tenor (loan
    Neuronpedia logo
    GEMMA-3-27B-IT
    41-GEMMASCOPE-2-RES-262K
    INDEX 6989
    questions and agenda-style overviews that introduce or enumerate specific topics to be discussed or explained.
    gpt-5
    wolf's howl unique, and how the wolf population
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 1878
    programming and scripting code tokens, especially method/function calls, query/filter operators, and shell pipeline syntax.
    gpt-5
    : "aText".replace("seachPattern","
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 4014
    human-centric plural nouns, especially those referring to people’s identity, lives, and sensory/communicative body parts.
    gpt-5
    the money.↵↵Black lives matter. And the lives
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 6656
    expressions of subjective evaluation or sentiment, especially opinionated judgments about quality, value, or experiences in reviews or commentary.
    gpt-5
    LOL).↵↵As with most products, it's
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 9554
    category-defining common nouns that denote goods, services, or organized activities, especially in informational or promotional contexts.
    gpt-5
    offering the benefits of drip watering at a<bos>
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 7762
    descriptions of hotel or lodging amenities and room/property features, especially “with”-phrased facilities, bathrooms, electronics, and on-site services (often including measurements or availability/cost details).
    gpt-5
    ), concealed flat screen TV with Sky and Netflix. 
    Neuronpedia logo
    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 15734
    typographic apostrophes (the curly ’) used in English contractions and possessives.
    gpt-5
    seem overwhelming. It shouldn’t. You can’
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 4431
    asterisk markup used for informal stage directions/emotes or bullet-style emphasis in text.
    gpt-5
    UC and Moon!↵↵*wonders what Steph did
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 3608
    apostrophe markers in English contractions and possessive forms.
    gpt-5
    2010-2018 One Sister
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 299
    dense academic/technical prose, especially with quantitative or economics/science terminology and formal, jargon-heavy phrasing.
    gpt-5
    Culture: of drinks may Add true staff for people(
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    GEMMA-3-1B
    13-GEMMASCOPE-2-RES-16K
    INDEX 7789
    This neuron detects rare or highly salient content tokens — uncommon words or numbers that carry strong informational weight.
    gpt-5-mini
    having a ceremony after already being married.  (This
    Neuronpedia logo
    GEMMA-3-27B-IT
    41-GEMMASCOPE-2-RES-262K
    INDEX 6110
    key, high‑salience content words that carry a sentence’s main focus—especially emphasized terms, negations, and core subject nouns/verbs (e.g., “hard,” “no,” “over,” primary topic keywords).
    gpt-5
    's world is *hard*. We're bombarded
    Neuronpedia logo
    GEMMA-3-27B-IT
    41-GEMMASCOPE-2-RES-262K
    INDEX 1284
    the verb "heard" and words that follow it in reported speech or hearsay contexts.
    claude-4-5-haiku
    . For years I had heard many versions of the history
    Neuronpedia logo
    GEMMA-2-2B
    23-GEMMASCOPE-RES-16K
    INDEX 16330
    adjectives that evaluate or qualify nouns (e.g., indicating quality, complexity, specificity, rarity, or possibility).
    gpt-5
    Experimental Design:**  Planning effective experiments to maximize information gained
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    GEMMA-3-27B-IT
    41-GEMMASCOPE-2-RES-262K
    INDEX 2673
    concepts and discussions related to light and optics, including illumination, color, wavelengths, scattering, and physics-of-light phenomena.
    gpt-5
    eye! You see things because light bounces off of them
    Neuronpedia logo
    GEMMA-3-27B-IT
    41-GEMMASCOPE-2-RES-262K
    INDEX 24111