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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 86865
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    INDEX
    Explanations

    phrases related to clinical risk factors and patient demographics in medical contexts

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

    age, gender, and comorbidities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     setempat
    -0.40
     itulah
    -0.33
     sådan
    -0.33
     kommunen
    -0.32
     virkelig
    -0.32
     безопас
    -0.32
    īdz
    -0.31
    DataSnapshot
    -0.30
     concepto
    -0.30
     وغير
    -0.30
    POSITIVE LOGITS
     age
    0.79
     comorbidities
    0.72
     smoking
    0.67
     comor
    0.67
     Age
    0.63
     gender
    0.62
    年龄
    0.62
    年齡
    0.58
     getAge
    0.58
     younger
    0.58
    Activations Density 0.591%

    No Known Activations