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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 8279
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    INDEX
    Explanations

    references to specific clothing items or promotional products

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

    Clothing items (shirts, socks, apparel)

    np_acts-logits-general · gemini-2.0-flash

    shirts, socks, and pins

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CodeAttribute
    -0.81
    WarningLevel
    -0.80
    脚注の使い方
    -0.78
    клопе
    -0.75
    पया
    -0.72
    DeleteBehavior
    -0.71
    ChildScrollView
    -0.70
    
    -0.68
    InitVars
    -0.68
     ब्रेकडाउन
    -0.68
    POSITIVE LOGITS
     shirts
    0.65
     cool
    0.65
     shirt
    0.59
     tee
    0.56
     unisex
    0.56
     gift
    0.54
     sweatshirt
    0.54
     apparel
    0.53
     Cool
    0.53
     merch
    0.52
    Activations Density 0.072%

    No Known Activations