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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 11717
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    INDEX
    Explanations

    phrases indicating roles and interactions within healthcare settings

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

    medical roles and staff

    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
     doctors
    -0.55
     Ärzte
    -0.50
    doctors
    -0.50
     doctor
    -0.48
    醫生
    -0.46
     Ärz
    -0.45
     physicians
    -0.45
     Arzt
    -0.44
    医生
    -0.43
    doctor
    -0.43
    POSITIVE LOGITS
     Nurse
    0.63
     nurse
    0.61
     Nurses
    0.61
     nurses
    0.59
    出版年
    0.59
    Nurse
    0.58
    nurse
    0.53
     AssemblyTitle
    0.52
    Nursing
    0.50
     nursing
    0.50
    Activations Density 0.050%

    No Known Activations