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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. 70300
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    INDEX
    Explanations

    performances and statistics related to football players, specifically touchdowns and rushing yards

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

    touchdowns scored or TD runs

    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
    BeginContext
    -0.52
    migrationBuilder
    -0.46
     snippetHide
    -0.43
    genodigd
    -0.42
    enumii
    -0.40
     OMITBAD
    -0.39
    GOTREF
    -0.39
    agus
    -0.38
    бият
    -0.38
    矢
    -0.37
    POSITIVE LOGITS
     touchdown
    0.66
     touchdowns
    0.65
     TD
    0.49
     score
    0.49
     scoring
    0.48
     scored
    0.47
     scores
    0.47
     anota
    0.46
    score
    0.45
    scored
    0.43
    Activations Density 0.025%

    No Known Activations