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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. 89477
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    Explanations

    references to snow in various contexts

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

    snow and snowstorm

    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
    ViewImports
    -0.48
    Bronnen
    -0.47
     AssemblyCulture
    -0.41
     Klicken
    -0.38
     Baillargeon
    -0.37
    ftagPool
    -0.35
    fromnode
    -0.35
     zove
    -0.35
     ""],
    -0.35
     ModelExpression
    -0.34
    POSITIVE LOGITS
    Snow
    0.73
    snow
    0.69
     Snow
    0.69
    storm
    0.68
     snow
    0.66
    shoe
    0.66
     SNOW
    0.63
    ball
    0.59
    dri
    0.59
    blow
    0.56
    Activations Density 0.003%

    No Known Activations