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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 8991
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    Explanations

    ingredients, cooking methods, and preparation steps related to recipes

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

    cooking or cooked meat

    np_acts-logits-general · gemini-2.0-flash

    cooking doneness and quality

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EnableWeb
    -0.51
     désolés
    -0.50
    dova
    -0.49
    éras
    -0.49
    WithIOException
    -0.47
    colato
    -0.46
    hasNext
    -0.45
    ArgumentParser
    -0.45
    liquez
    -0.45
    utches
    -0.45
    POSITIVE LOGITS
     cuisson
    0.70
     cooked
    0.69
    Rare
    0.67
     Rare
    0.67
     estekak
    0.67
     charred
    0.66
    cooked
    0.65
     rare
    0.64
    rare
    0.63
     cottura
    0.63
    Activations Density 0.090%

    No Known Activations