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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 52802
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    Explanations

    references to gender distribution and patient demographics in medical contexts

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

    male female ratio predominance

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.69
    setViewportView
    -0.53
     Grüsse
    -0.49
     kasarigan
    -0.45
    tinyos
    -0.41
     вікісторінку
    -0.41
    BibitemShut
    -0.41
    siasme
    -0.41
     zwyk
    -0.40
     $_"
    -0.40
    POSITIVE LOGITS
     female
    0.95
     male
    0.91
     Female
    0.89
    Male
    0.87
    Female
    0.85
    female
    0.85
     Male
    0.84
     masculine
    0.83
    male
    0.82
     FEMALE
    0.81
    Activations Density 0.123%

    No Known Activations