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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. 1463
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    Explanations

    clinical terms and measurements related to cardiovascular health and biomarkers

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

    medical terminology and diagnostic test details related to blood tests and clinical parameters.

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

    medical and laboratory test names and measurements, particularly biomarkers and diagnostic parameters used in clinical studies.

    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
    出版年
    -0.60
     ModelExpression
    -0.53
     defStyle
    -0.51
     otomatig
    -0.51
     fotográfico
    -0.50
    AutoScaleMode
    -0.49
    contentLoaded
    -0.48
     pouvoit
    -0.48
     Italij
    -0.45
     bandoulière
    -0.45
    POSITIVE LOGITS
     serum
    0.88
     blood
    0.84
     Serum
    0.78
     plasma
    0.72
    blood
    0.67
     Blood
    0.66
    Serum
    0.63
    Blood
    0.63
    serum
    0.63
     Plasma
    0.59
    Activations Density 1.407%

    No Known Activations