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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13803
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    Explanations

    references to medical specialties and healthcare professionals' qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pushFollow
    -0.53
    migrationBuilder
    -0.52
    HandlerContext
    -0.45
     noDo
    -0.43
    RTEE
    -0.42
    ectoria
    -0.42
     transfieras
    -0.41
     Meksiku
    -0.41
     مرئيه
    -0.41
    rawDesc
    -0.41
    POSITIVE LOGITS
     gastroenter
    0.79
     specialty
    0.74
     oncology
    0.72
     uro
    0.69
     Orth
    0.68
     orth
    0.68
     infectious
    0.67
     Gastroenter
    0.66
     endoc
    0.66
     orthopedic
    0.66
    Activations Density 0.676%

    No Known Activations