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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 10280
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    Explanations

    mentions of chefs, culinary professionals, and food-related themes

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

    culinary and chefs

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    meralda
    -0.46
     Snell
    -0.46
    ⓧ
    -0.45
     فہرست
    -0.44
    SequentialGroup
    -0.42
    zle
    -0.41
    VYMaps
    -0.40
     dår
    -0.40
     involved
    -0.40
    новниш
    -0.40
    POSITIVE LOGITS
     culinary
    0.94
     cooking
    0.86
     Cooking
    0.79
     cookbook
    0.78
     Culinary
    0.77
    cooking
    0.74
     culin
    0.74
    Cooking
    0.74
     chefs
    0.73
     cuisine
    0.72
    Activations Density 0.041%

    No Known Activations