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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6989
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    Explanations

    references to specific sports teams or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     속
    -0.35
    modelName
    -0.33
    pushFollow
    -0.32
     Geschw
    -0.30
    Šaltiniai
    -0.29
     endommag
    -0.29
    สมบัติ
    -0.28
     ťaž
    -0.28
    fahrene
    -0.28
    ランキング
    -0.27
    POSITIVE LOGITS
     stadium
    0.99
     Seats
    0.95
     seats
    0.94
    Seats
    0.89
     fan
    0.88
     Seating
    0.87
     seating
    0.86
     fans
    0.86
     cheering
    0.85
    stadium
    0.84
    Activations Density 0.198%

    No Known Activations