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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10471
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    INDEX
    Explanations

    performance metrics and statistics in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Football plays, players, and game descriptions

    np_acts-logits-general · gemini-2.0-flash

    football game events

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    SourceChecksum
    -0.82
    AnchorStyles
    -0.60
    webElementXpaths
    -0.59
     onPostExecute
    -0.58
    awaiter
    -0.57
    astify
    -0.56
    DockStyle
    -0.56
    المراجع
    -0.55
     Hồ
    -0.55
    reht
    -0.54
    POSITIVE LOGITS
    🏈
    1.11
     football
    1.06
     Football
    1.05
    Football
    1.02
     NFL
    0.96
     quarterback
    0.93
     touchdown
    0.92
    NFL
    0.92
    football
    0.91
     quarterbacks
    0.90
    Activations Density 0.424%

    No Known Activations