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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. 42849
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    Explanations

    references to culinary ingredients and their uses

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

    cooking and culinary uses

    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
    Jeografia
    -0.34
     autorytatywna
    -0.34
     henvisninger
    -0.33
     sequência
    -0.30
     vettor
    -0.30
     poš
    -0.29
     minOccurs
    -0.28
     personeel
    -0.27
    RTLU
    -0.27
     sessionFactory
    -0.27
    POSITIVE LOGITS
     culinary
    1.00
     cooking
    1.00
     Cooking
    0.97
    Cooking
    0.93
    cooking
    0.89
     culin
    0.85
     recipes
    0.85
     Culinary
    0.83
     versatility
    0.81
     cuis
    0.79
    Activations Density 0.021%

    No Known Activations