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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13149
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    Explanations

    mentions of sports teams and their players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.46
    RotationOrder
    -0.46
    waitKey
    -0.45
     onAnimation
    -0.43
    RetentionPolicy
    -0.42
     Leche
    -0.41
    fycat
    -0.41
    ///</
    -0.41
    VersionUID
    -0.40
    AutoScale
    -0.40
    POSITIVE LOGITS
     Arsenal
    0.70
     Dodgers
    0.65
    Arsenal
    0.64
    Juventus
    0.60
     Juventus
    0.60
     Celtics
    0.60
     Chelsea
    0.60
    Chelsea
    0.59
     Yankees
    0.57
     Packers
    0.56
    Activations Density 0.210%

    No Known Activations