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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 15762
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    Explanations

    references to anabolic substances and their effects on body composition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    muscle and body composition

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urlpatterns
    -0.40
     VIDEOTAPE
    -0.39
    PrototypeOf
    -0.39
    MessageTagHelper
    -0.39
    principalColumn
    -0.38
    DMETHOD
    -0.38
     виправивши
    -0.38
     Exacts
    -0.37
     aDecoder
    -0.37
    eringer
    -0.36
    POSITIVE LOGITS
     muscle
    1.37
    muscle
    1.23
    Muscle
    1.23
     muscular
    1.22
     muscles
    1.17
     Muscle
    1.13
    muscular
    1.04
    肌肉
    1.02
     Muscles
    0.98
     Muscular
    0.96
    Activations Density 0.056%

    No Known Activations