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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6973
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    INDEX
    Explanations

    mentions of coffee and its related elements

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

    beers or alcoholic beverages

    np_acts-logits-general · gemini-2.0-flash

    beer, ale, wine, rum

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Matériau
    -0.46
     Matériau
    -0.45
     coser
    -0.45
     hadas
    -0.39
     prévention
    -0.39
     zanahoria
    -0.38
     affaires
    -0.38
    wenden
    -0.38
     innere
    -0.37
    BagLayout
    -0.37
    POSITIVE LOGITS
     brewed
    0.71
     brewery
    0.69
     tasting
    0.68
     beer
    0.68
     brew
    0.68
     beers
    0.67
     AssemblyCulture
    0.66
    AsUp
    0.66
     brewers
    0.66
     tastes
    0.63
    Activations Density 0.058%

    No Known Activations