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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12642
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    elements related to healthcare roles and medical specialties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    RegressionTest
    -0.56
    astify
    -0.52
     חיצוניים
    -0.50
     enfans
    -0.48
    Rujuakan
    -0.47
    verifyException
    -0.47
     indígen
    -0.47
     oprot
    -0.46
     beſt
    -0.46
    Tikang
    -0.45
    POSITIVE LOGITS
     sectors
    0.69
     categories
    0.66
     disciplines
    0.59
     domains
    0.59
     fields
    0.59
     specialization
    0.59
     areas
    0.58
     industries
    0.57
     specialties
    0.56
     topics
    0.56
    Activations Density 0.669%

    No Known Activations