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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. 2365
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    INDEX
    Explanations

    references to cities and their characteristics

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

    major cities

    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
    AndEndTag
    -0.35
    ścioła
    -0.33
     réservoir
    -0.30
     proceder
    -0.29
     fisuras
    -0.28
     Kecamatan
    -0.28
    deckt
    -0.27
    ็ด
    -0.27
     Kreis
    -0.27
    WebElementEntity
    -0.27
    POSITIVE LOGITS
     London
    1.10
    London
    1.01
     Tokyo
    0.98
     Chicago
    0.97
     Paris
    0.96
     Londres
    0.95
    Paris
    0.90
    Tokyo
    0.88
    Chicago
    0.88
     Amsterdam
    0.88
    Activations Density 0.038%

    No Known Activations