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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7995
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    Explanations

    terms related to football and its players or positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.63
     autorytatywna
    -0.60
    EndProject
    -0.45
     initComponents
    -0.45
     burbujas
    -0.41
     Spez
    -0.40
    
    -0.40
     Fournier
    -0.40
     Benutzer
    -0.39
    RTEX
    -0.39
    POSITIVE LOGITS
     Football
    1.00
    Football
    0.99
     football
    0.99
     NFL
    0.92
    football
    0.89
     FOOTBALL
    0.88
    NFL
    0.88
    🏈
    0.77
     Bowl
    0.70
     touchdowns
    0.70
    Activations Density 0.432%

    No Known Activations