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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14324
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    Explanations

    specific terminology related to American football, particularly about games 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 @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     kasarigan
    -0.64
    发表于
    -0.52
    ✨:
    -0.48
    awtextra
    -0.48
     tenuto
    -0.47
    EndProject
    -0.47
    niaus
    -0.47
    homonymie
    -0.47
     horticultural
    -0.46
     Purcell
    -0.46
    POSITIVE LOGITS
     NFL
    0.69
     football
    0.66
    NFL
    0.63
     Football
    0.62
    Football
    0.57
    football
    0.54
    🏈
    0.53
    nfl
    0.49
     FOOTBALL
    0.47
     quarterback
    0.46
    Activations Density 0.303%

    No Known Activations