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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. 3354
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    Explanations

    terms related to dietary and metabolic measurements

    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
    
    -0.51
     culturas
    -0.46
    RTEE
    -0.46
    RTCK
    -0.45
    endroit
    -0.45
     незавершена
    -0.41
    philis
    -0.40
    Revenir
    -0.40
    ália
    -0.39
     formalized
    -0.39
    POSITIVE LOGITS
     calories
    0.56
    calories
    0.54
     calorie
    0.53
     dieting
    0.53
    脂肪
    0.50
     fat
    0.50
     adipo
    0.49
     adipose
    0.48
    msgTypes
    0.48
    Demografía
    0.47
    Activations Density 0.170%

    No Known Activations