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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 14394
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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-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 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
    :✨
    -0.64
     auto
    -0.52
    shadowOpacity
    -0.51
    geleitet
    -0.51
    Activity
    -0.47
    nolog
    -0.47
    GEBURTSDATUM
    -0.45
     Auto
    -0.45
     Activity
    -0.44
     activity
    -0.44
    POSITIVE LOGITS
     calories
    0.79
    orexia
    0.79
     contextLoads
    0.79
     obesity
    0.78
     bmi
    0.77
     obese
    0.77
    WebVitals
    0.77
     Obesity
    0.76
     weight
    0.76
     BMI
    0.74
    Activations Density 0.193%

    No Known Activations