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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13207
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    INDEX
    Explanations

    mentions of beer and related alcoholic beverages

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

    beer or brewing

    np_acts-logits-general · gemini-2.0-flash

    beer and ale

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Negative Logits
    BagConstraints
    -0.47
     devoir
    -0.46
    ømme
    -0.45
    quiagem
    -0.45
    ěry
    -0.44
    alakip
    -0.43
    ScopeManager
    -0.43
     obblig
    -0.42
    FXML
    -0.42
     AspNetCore
    -0.42
    POSITIVE LOGITS
     beer
    1.34
    Beer
    1.12
     Beer
    1.12
     BEER
    1.09
     beers
    1.07
    beer
    1.05
     cerveza
    1.01
     cerveja
    1.00
     пиво
    0.93
     bière
    0.92
    Activations Density 0.141%

    No Known Activations