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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7135
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    Explanations

    references to health conditions associated with obesity and metabolic issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     смы
    -0.44
    statechange
    -0.43
    context
    -0.41
    Autoritní
    -0.41
    脚注の使い方
    -0.40
     Tages
    -0.40
    vinfos
    -0.40
    COMMON
    -0.39
    icksburg
    -0.39
    Rare
    -0.38
    POSITIVE LOGITS
     obesity
    0.84
     weight
    0.82
     obese
    0.78
     Obesity
    0.74
     fat
    0.71
     slimming
    0.69
     obes
    0.69
     overweight
    0.68
     Weight
    0.67
    Obesity
    0.67
    Activations Density 0.289%

    No Known Activations