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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. 60942
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    INDEX
    Explanations

    references to beverages and drinks, particularly juices and teas

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

    drinks, beverages

    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
    ">//
    -0.39
    Eating
    -0.38
    subplots
    -0.37
    [](
    -0.35
     Eating
    -0.34
    Diweddarwch
    -0.34
     eating
    -0.33
    eating
    -0.32
    Przypisy
    -0.32
    forName
    -0.32
    POSITIVE LOGITS
     drink
    0.87
     beverage
    0.81
     drinks
    0.77
    drink
    0.75
     drinker
    0.74
     drank
    0.72
     beverages
    0.71
     drinkers
    0.70
     Drink
    0.69
     thirst
    0.68
    Activations Density 0.032%

    No Known Activations