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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. 43119
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    Explanations

    discussions around dietary habits and health-related recommendations

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

    eating and drinking

    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
    Jîn
    -0.42
    ésultat
    -0.38
     gezondheid
    -0.35
    pakah
    -0.34
     Targeting
    -0.33
    meaning
    -0.33
     Fuel
    -0.33
    әрмәләр
    -0.33
    supported
    -0.32
    Parameteri
    -0.32
    POSITIVE LOGITS
     spicy
    0.72
    Spicy
    0.67
     Spicy
    0.64
     resourceCulture
    0.63
     dairy
    0.62
     onions
    0.59
     alcoholic
    0.58
     alcohol
    0.57
     caffeine
    0.57
     seafood
    0.55
    Activations Density 0.070%

    No Known Activations