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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14455
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    INDEX
    Explanations

    references to food, dining experiences, and culinary offerings

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     food
    -0.48
     FOOD
    -0.47
     foods
    -0.47
    食べ物
    -0.46
    PyTuple
    -0.45
    FOOD
    -0.44
     comida
    -0.43
    的食物
    -0.43
    食物
    -0.42
     Food
    -0.42
    POSITIVE LOGITS
     dessert
    0.91
    Dessert
    0.91
     beverages
    0.89
    dessert
    0.88
     drinks
    0.87
     minuman
    0.83
     beverage
    0.82
     Dessert
    0.82
     drink
    0.81
     bebida
    0.81
    Activations Density 0.185%

    No Known Activations