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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. 39634
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    INDEX
    Explanations

    references to diverse food options or selections in a dining context

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

    variety of food and drink

    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
     Administrativna
    -0.68
    GTCX
    -0.59
     prêtres
    -0.54
    ViewFeatures
    -0.51
     enfans
    -0.50
    fromnode
    -0.48
    útil
    -0.47
    Попис
    -0.47
     épaules
    -0.47
    OCCURRED
    -0.46
    POSITIVE LOGITS
     flavors
    0.80
     cheeses
    0.77
     flavours
    0.71
     wines
    0.66
     sauces
    0.64
     Flav
    0.59
     flavor
    0.58
     liquors
    0.58
     beers
    0.56
     scents
    0.56
    Activations Density 0.015%

    No Known Activations