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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 4167
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    Explanations

    references to alcoholic beverages

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

    specific alcoholic beverage names and brands.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
    행
    -0.39
     chimie
    -0.39
    ayuno
    -0.39
    équipements
    -0.38
     châssis
    -0.38
    quíni
    -0.37
    fattning
    -0.36
     행
    -0.36
     rêver
    -0.35
     montañas
    -0.35
    POSITIVE LOGITS
     wines
    0.71
     brandy
    0.69
     vodka
    0.68
     whiskey
    0.67
     brands
    0.67
     liqueur
    0.64
     wireType
    0.61
     Vodka
    0.61
     whisky
    0.60
     liquors
    0.60
    Activations Density 0.081%

    No Known Activations