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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11607
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    Explanations

    references to body weight, obesity, and related health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    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
     kasarigan
    -0.48
    icksburg
    -0.48
     विश्वसनीयता
    -0.46
     DbType
    -0.45
    $​
    -0.45
    RTLI
    -0.45
    casila
    -0.44
    Probability
    -0.44
    Cartney
    -0.44
     deal
    -0.43
    POSITIVE LOGITS
     weight
    0.79
     Weight
    0.72
    weight
    0.70
    Weight
    0.69
     obesity
    0.66
     Gewichts
    0.62
    体重
    0.61
    Obesity
    0.60
     Obesity
    0.60
     overweight
    0.59
    Activations Density 0.227%

    No Known Activations