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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. 4358
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    Explanations

    references to food, particularly meals and meal services

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

    meals and eating

    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
     negative
    -0.47
     hvid
    -0.43
     character
    -0.43
     amortecedor
    -0.43
     cutting
    -0.42
     black
    -0.41
     Hãy
    -0.41
     estrela
    -0.41
     imprend
    -0.40
     hard
    -0.40
    POSITIVE LOGITS
     meals
    1.88
     Meals
    1.68
    Meals
    1.61
    meals
    1.57
     dinners
    0.96
     breakfasts
    0.94
     lunches
    0.90
     comidas
    0.76
     repas
    0.72
    Dinner
    0.69
    Activations Density 0.003%

    No Known Activations