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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. 86603
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    Explanations

    references to chefs and their names within the context of culinary discussions

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

    names of chefs

    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
    Not in Any Lists

    No Comments

    Negative Logits
     kuda
    -0.44
    guisement
    -0.44
     Performance
    -0.43
     play
    -0.42
     CURIAM
    -0.41
     TextAppearance
    -0.41
     spille
    -0.40
     cardiaque
    -0.40
     Nascimento
    -0.40
     avrebbero
    -0.40
    POSITIVE LOGITS
    Food
    0.69
    FOOD
    0.66
    food
    0.66
     food
    0.63
     chefs
    0.61
     FOOD
    0.61
     culin
    0.61
     kulinar
    0.59
    Foods
    0.59
     foods
    0.59
    Activations Density 0.017%

    No Known Activations