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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10198
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    Explanations

    references to dietary components and consumption metrics in biological contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ujednoznacz
    -0.71
    tagPool
    -0.62
    readystatechange
    -0.59
     AssemblyTitle
    -0.57
    fjspx
    -0.55
    addCriterion
    -0.55
     BorderRadius
    -0.53
    InjectAttribute
    -0.53
    ViewImports
    -0.51
     McCabe
    -0.50
    POSITIVE LOGITS
     feeding
    0.66
     eating
    0.62
     feed
    0.62
     meals
    0.58
     Feeding
    0.56
     appetite
    0.56
     nutrition
    0.56
     alimentation
    0.55
     feeds
    0.54
     FEED
    0.54
    Activations Density 0.275%

    No Known Activations