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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 115955
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    Explanations

    mentions of various cuisines and food types

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

    culinary styles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     valentín
    -0.61
     jambe
    -0.56
     Simón
    -0.54
     moitié
    -0.53
     pitié
    -0.52
     néer
    -0.52
     Nacionales
    -0.52
     vectorielle
    -0.52
     Públicas
    -0.50
     parís
    -0.50
    POSITIVE LOGITS
     cuisine
    2.02
     Cuisine
    1.79
    cuisine
    1.69
    Cuisine
    1.66
     cuisines
    1.58
     cucina
    0.86
     Küche
    0.86
     culinary
    0.85
    uisine
    0.83
    küche
    0.81
    Activations Density 0.003%

    No Known Activations