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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. 34322
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    INDEX
    Explanations

    instances of the word "wear" and its variations, indicating a focus on clothing or attire

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    wearing clothes or accessories

    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
    Negative Logits
    tisgarh
    -0.47
     Augustin
    -0.46
     zp
    -0.44
    uesia
    -0.44
    IntoConstraints
    -0.42
    PDOException
    -0.41
    hoebe
    -0.41
    醐
    -0.40
    Exemples
    -0.40
     souffle
    -0.40
    POSITIVE LOGITS
     Wear
    0.79
    Wear
    0.77
     wear
    0.71
     wore
    0.69
     WEAR
    0.69
     worn
    0.69
    wear
    0.64
     wears
    0.63
    wearing
    0.62
     wearing
    0.59
    Activations Density 0.009%

    No Known Activations