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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 126956
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    Explanations

    mentions of the city San Francisco

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

    San place names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     käyttö
    -0.55
     PeEnEo
    -0.55
     refirió
    -0.52
    viewType
    -0.51
     rodillas
    -0.50
    lotz
    -0.50
    idoscope
    -0.50
    momix
    -0.49
    gucigalpa
    -0.49
    gestaltung
    -0.49
    POSITIVE LOGITS
     San
    1.80
    San
    1.52
     SAN
    1.11
     san
    1.09
     Сан
    0.95
    SAN
    0.93
    Сан
    0.79
     Santa
    0.79
     サン
    0.77
    サン
    0.73
    Activations Density 0.005%

    No Known Activations