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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14637
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    Explanations

    details about player statistics and rankings in sports contexts

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

    College football teams (often Florida)

    np_acts-logits-general · gemini-2.0-flash

    football players

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Matches
    -0.56
    fromnode
    -0.51
     fémin
    -0.50
     daly
    -0.49
    mybatisplus
    -0.49
    getWriter
    -0.49
    tedì
    -0.48
     Stuhl
    -0.48
    كين
    -0.48
     Censo
    -0.47
    POSITIVE LOGITS
     football
    1.31
    Football
    1.11
     Football
    1.10
    football
    1.08
    🏈
    1.05
     FOOTBALL
    1.04
     touchdown
    0.98
     touchdowns
    0.97
     quarterback
    0.94
     NFL
    0.94
    Activations Density 0.305%

    No Known Activations