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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5988
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    Explanations

    mentions of sports and athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     HasFactory
    -0.46
     CURIAM
    -0.46
    TagMode
    -0.45
    hyrchwyd
    -0.45
     Infórmanos
    -0.45
     '\\;'
    -0.45
     Administrativna
    -0.43
     getRule
    -0.42
    buttonShape
    -0.41
    canestro
    -0.41
    POSITIVE LOGITS
     volleyball
    0.93
     Volleyball
    0.90
    Volleyball
    0.83
     setter
    0.82
    🏐
    0.79
     libero
    0.75
     volley
    0.75
     Volley
    0.69
     setters
    0.67
    leyball
    0.65
    Activations Density 0.085%

    No Known Activations