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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 23406
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    Explanations

    mentions of quarterbacks and their performance metrics

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

    quarterback

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    richTextPanel
    -0.54
    клопе
    -0.50
    rungsseite
    -0.50
     архивлан
    -0.49
    nodoc
    -0.48
    큼
    -0.46
     Auss
    -0.45
     CascadeType
    -0.44
     seeds
    -0.43
    TypedDataSet
    -0.43
    POSITIVE LOGITS
     quarterbacks
    0.46
    contentLoaded
    0.45
     quarterback
    0.45
     smtplib
    0.37
    BeginContext
    0.37
     expédié
    0.35
     الحره
    0.34
    RenderAtEndOf
    0.33
     Mahomes
    0.33
    motor
    0.32
    Activations Density 0.107%

    No Known Activations