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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. 62636
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    INDEX
    Explanations

    mentions of football teams and their performance statistics

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

    scores and specific mentions

    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
     NBA
    -0.71
     rookie
    -0.70
     teammates
    -0.67
     teammate
    -0.65
    NBA
    -0.64
    Rookie
    -0.63
     playoff
    -0.63
     nba
    -0.62
     offseason
    -0.61
     preseason
    -0.59
    POSITIVE LOGITS
     plateado
    0.52
     fisuras
    0.49
     Италијани
    0.48
     dragón
    0.47
     oído
    0.47
     betweenstory
    0.47
     noDo
    0.47
    LookAnd
    0.46
     financiación
    0.46
    OfWork
    0.46
    Activations Density 0.067%

    No Known Activations