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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 3426
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    INDEX
    Explanations

    references to transportation and commuting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    commuting, carpooling, and driving

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ***!
    -0.67
    Personensuche
    -0.67
    出版年
    -0.66
    findpost
    -0.64
     nahilalakip
    -0.62
     estekak
    -0.59
     Vikipedi
    -0.57
    ьаж
    -0.55
    UnknownFieldSet
    -0.54
    rungsseite
    -0.53
    POSITIVE LOGITS
     commute
    1.13
     commuting
    1.04
     commuters
    0.90
     Commute
    0.86
    通勤
    0.83
     commuter
    0.78
     daily
    0.69
     comm
    0.68
     mornings
    0.68
    commut
    0.68
    Activations Density 0.024%

    No Known Activations