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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 11756
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    Explanations

    references to dietary patterns and nutrition quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    writeFieldEnd
    -0.59
     فريبيس
    -0.56
    WithIOException
    -0.54
    
    -0.49
     Bearbeit
    -0.49
     gröss
    -0.48
    inhua
    -0.47
    GIVEREF
    -0.46
     Италијани
    -0.46
     Wicidata
    -0.45
    POSITIVE LOGITS
     diet
    1.45
     Diet
    1.20
    diet
    1.15
    Diet
    1.15
     dieta
    1.10
     nutrition
    1.03
     DIET
    1.01
     dietary
    0.99
     diets
    0.98
     Nutrition
    0.89
    Activations Density 0.361%

    No Known Activations