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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 5258
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    Explanations

    topics related to eating habits and their effects on health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    language related to food intake, eating patterns, and hunger.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.60
    InjectAttribute
    -0.48
     surla
    -0.47
    TabIndex
    -0.45
    Joy
    -0.43
     HOT
    -0.43
     invokingState
    -0.43
    首
    -0.43
     Joy
    -0.42
    正面
    -0.42
    POSITIVE LOGITS
     eating
    0.69
     starving
    0.54
     feeding
    0.54
     starvation
    0.53
     hungry
    0.50
     hunger
    0.49
     malnutrition
    0.49
     famine
    0.47
     nutrition
    0.46
     Eating
    0.46
    Activations Density 0.095%

    No Known Activations