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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7964
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    Explanations

    food items and their categories in dietary contexts

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

    grains or starches

    np_acts-logits-general · gemini-2.0-flash

    grains and flour products

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.71
    twimg
    -0.64
    IntoConstraints
    -0.63
     تضيفلها
    -0.63
     ModelExpression
    -0.56
     JpaRepository
    -0.56
     podjela
    -0.54
     Dung
    -0.54
    MethodManager
    -0.53
     LIT
    -0.52
    POSITIVE LOGITS
     grains
    0.83
     grain
    0.80
     flour
    0.75
     wheat
    0.74
     rice
    0.73
     grano
    0.72
     Grains
    0.71
     cereals
    0.70
     milled
    0.69
     millet
    0.69
    Activations Density 0.253%

    No Known Activations