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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14739
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    Explanations

    keywords related to chronic diseases and their underlying mechanisms

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

    medical and health-related terminology, with a focus on chronic diseases, inflammation, and medical conditions.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    medical and scientific terminology related to chronic diseases and health conditions.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.55
    ftagPool
    -0.52
    Jeografia
    -0.45
    
    -0.45
     uLocal
    -0.44
    enido
    -0.44
    ViewChild
    -0.43
     convene
    -0.43
    ScopeManager
    -0.42
    setVerticalGroup
    -0.41
    POSITIVE LOGITS
     diseases
    1.87
     disease
    1.77
     Diseases
    1.45
     illnesses
    1.42
     illness
    1.40
    diseases
    1.39
    disease
    1.38
     Disease
    1.35
    Diseases
    1.35
     disorders
    1.34
    Activations Density 0.847%

    No Known Activations