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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. 81261
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    INDEX
    Explanations

    specific names of brands, stores, and products associated with shopping and consumer items

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

    retail and food businesses

    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
    httphttps
    -0.93
     فريبيس
    -0.79
     ModelExpression
    -0.75
     ویکی‌پدی
    -0.71
    zzleHttp
    -0.68
     للاسماء
    -0.68
    pecabe
    -0.67
     increí
    -0.66
     transférez
    -0.65
     estadounid
    -0.65
    POSITIVE LOGITS
     Starbucks
    0.62
     McDonald
    0.57
     Dunkin
    0.56
     CVS
    0.50
     Burger
    0.49
     KFC
    0.48
     McDonalds
    0.47
     Pizza
    0.47
     Aldi
    0.46
     Costco
    0.45
    Activations Density 0.045%

    No Known Activations