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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15299
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    Explanations

    medical terms related to cardiovascular risk factors and diseases

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

    medical terminology and detailed descriptions of health conditions and risk factors.

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

    medical and scientific terminology, particularly lists of diseases, risk factors, symptoms, and clinical 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
    Примітки
    -0.43
    hopefully
    -0.43
    发表于
    -0.41
     hopefully
    -0.40
    KindOfClass
    -0.39
     Hopefully
    -0.39
    inguém
    -0.38
     gefahren
    -0.38
     costing
    -0.38
    <bos>
    -0.36
    POSITIVE LOGITS
     trauma
    0.68
    Trauma
    0.65
     exposure
    0.65
    findpost
    0.62
     stressful
    0.62
     Trauma
    0.59
     cigarette
    0.58
     immunosupp
    0.57
     alcoholism
    0.56
     malnutrition
    0.56
    Activations Density 1.026%

    No Known Activations