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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. 111476
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    INDEX
    Explanations

    information related to nutritional values and food composition

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

    macronutrients and minerals

    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
     للمعارف
    -0.73
    🇶
    -0.54
     Sprinkle
    -0.52
    Autoritní
    -0.52
    tingu
    -0.52
    dders
    -0.52
    aguars
    -0.51
    oceros
    -0.50
    ponge
    -0.50
    turnstile
    -0.50
    POSITIVE LOGITS
     protein
    0.50
     carbohydrates
    0.41
     fat
    0.40
     Protein
    0.40
     fats
    0.38
    localctx
    0.36
     carbohydrate
    0.36
    Protein
    0.36
     minerales
    0.34
     lipid
    0.34
    Activations Density 0.060%

    No Known Activations