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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 14119
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    Explanations

    references to the offensive line and offensive performance in sports

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

    offensive football

    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
     Administrativna
    -0.60
    KommentareTeilen
    -0.53
     gostar
    -0.52
     Italijanski
    -0.50
     Provid
    -0.48
     AssemblyCulture
    -0.47
    ptăm
    -0.47
    AlterField
    -0.46
    twilight
    -0.46
    discre
    -0.45
    POSITIVE LOGITS
    transQ
    0.47
    openConnection
    0.44
    offensive
    0.42
     Offensive
    0.41
     BoxDecoration
    0.41
     offensive
    0.40
     offensively
    0.39
     Offense
    0.39
     offense
    0.39
     ModelExpression
    0.38
    Activations Density 0.006%

    No Known Activations