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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2967
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    INDEX
    Explanations

    references to food safety and contamination issues

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

    after "food" or "drinking"

    np_acts-logits-general · gemini-2.0-flash

    food safety and regulation

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    WaitGroup
    -0.33
     moment
    -0.31
    LEGGI
    -0.31
     baga
    -0.30
     morgon
    -0.29
     vostra
    -0.28
    heide
    -0.28
    moment
    -0.28
     typelib
    -0.28
     @}
    -0.27
    POSITIVE LOGITS
    ValueStyle
    0.69
    food
    0.56
     Food
    0.56
     alimentaire
    0.55
     FOOD
    0.54
     food
    0.53
     kasarigan
    0.53
     <<<<<<<<<<<<<<
    0.52
    FOOD
    0.52
    Food
    0.52
    Activations Density 0.293%

    No Known Activations