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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. 9629
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    Explanations

    references to football matchups and player performance

    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
     offensive
    -0.76
     Offensive
    -0.75
    Offensive
    -0.75
    InjectAttribute
    -0.71
     offense
    -0.68
    offensive
    -0.65
    StoryboardSegue
    -0.63
     offensi
    -0.63
    MigrationBuilder
    -0.58
    󠁢
    -0.57
    POSITIVE LOGITS
     linebacker
    0.56
     sack
    0.48
     blit
    0.46
     corner
    0.44
     blitz
    0.44
     esquina
    0.42
     coverage
    0.42
     Defensive
    0.41
     defenders
    0.41
     safety
    0.40
    Activations Density 0.164%

    No Known Activations