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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. 3805
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    INDEX
    Explanations

    references to wine and food pairings

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

    wine, vino, 🍷

    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
    factories
    -0.42
     Factories
    -0.41
     manufacturing
    -0.41
    Manufacturing
    -0.40
     Manufacturing
    -0.39
     factories
    -0.38
     Langmuir
    -0.38
    Factories
    -0.38
     MANUFACTURING
    -0.38
    priority
    -0.37
    POSITIVE LOGITS
     wine
    1.34
     Wine
    1.20
    Wine
    1.18
     wines
    1.16
     WINE
    0.97
    wine
    0.96
     wijn
    0.91
     Wines
    0.88
     vino
    0.83
    🍷
    0.80
    Activations Density 0.023%

    No Known Activations