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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 20733
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    Explanations

    keywords related to clothing materials and performance features

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

    breathable cooling moisture wicking

    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
    setVerticalGroup
    -0.54
    rrggbb
    -0.52
    Наводи
    -0.48
     ladders
    -0.45
     määrä
    -0.45
    новниш
    -0.44
    InjectAttribute
    -0.43
    الحياه
    -0.43
    
    -0.43
     coloridos
    -0.42
    POSITIVE LOGITS
     sweat
    0.57
     perspiration
    0.57
     breathable
    0.56
     cooling
    0.54
     sweaty
    0.54
     breat
    0.53
     dry
    0.52
     cools
    0.50
     moisture
    0.50
    dry
    0.50
    Activations Density 0.006%

    No Known Activations