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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. 19175
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    INDEX
    Explanations

    references to specific food items and culinary experiences

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

    Cantonese, Chinese dialect

    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
    smithy
    -0.35
     Pelt
    -0.35
     lagu
    -0.35
    opar
    -0.35
     bio
    -0.34
     Castillo
    -0.34
     Rajput
    -0.34
     tere
    -0.33
    JpaRepository
    -0.33
    wahati
    -0.33
    POSITIVE LOGITS
     resourceCulture
    0.65
     pinulongan
    0.65
     chinois
    0.56
     ModelExpression
    0.55
     oprot
    0.54
     Cantonese
    0.53
    LookAnd
    0.53
     Chinatown
    0.53
     Hongkong
    0.53
    Autoritní
    0.52
    Activations Density 0.049%

    No Known Activations