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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. 2756
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    INDEX
    Explanations

    mentions of professional athletes and their struggles or achievements

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    脚注の使い方
    -0.66
     autorytatywna
    -0.65
    Autoritní
    -0.62
    tagHelperRunner
    -0.59
    GEBURTSDATUM
    -0.59
    }{*}{}
    -0.57
    Bibliograf
    -0.57
    ThroughAttribute
    -0.56
    SequentialGroup
    -0.56
    
    -0.55
    POSITIVE LOGITS
     sports
    0.96
    Sports
    0.79
     Sports
    0.79
     SPORTS
    0.78
     athletes
    0.78
    sports
    0.77
     football
    0.76
     sport
    0.75
    SPORTS
    0.71
     deportivas
    0.70
    Activations Density 1.031%

    No Known Activations