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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8623
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    INDEX
    Explanations

    references to chefs, food, and culinary expertise in a political context

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

    food and chefs

    np_acts-logits-general · gemini-2.0-flash

    culinary professionals and dietary needs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexContent
    -0.52
    CompilerServices
    -0.52
    出版年
    -0.51
    ึกษา
    -0.51
    fören
    -0.50
    FromArgb
    -0.48
    ampunk
    -0.46
    virons
    -0.45
     chi̍t
    -0.45
    withOpacity
    -0.45
    POSITIVE LOGITS
     food
    2.25
     eating
    1.93
    food
    1.91
    Food
    1.90
     culinary
    1.88
     Food
    1.88
     meals
    1.86
     meal
    1.79
     foods
    1.79
     FOOD
    1.79
    Activations Density 1.099%

    No Known Activations