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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 2793
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    INDEX
    Explanations

    names and titles of medical professionals

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

    Medical personnel or facilities

    np_acts-logits-general · gemini-2.0-flash

    medical professions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     переписи
    -0.54
    SizeF
    -0.52
     Literacy
    -0.51
    quester
    -0.50
    ♿
    -0.50
     count
    -0.50
    tonode
    -0.49
    COUNTS
    -0.49
     literacy
    -0.48
    zieć
    -0.47
    POSITIVE LOGITS
     physicians
    0.86
     physician
    0.81
     Physicians
    0.80
     Physician
    0.76
     doctors
    0.76
    Physician
    0.73
     practicing
    0.70
    Doctors
    0.69
     dokter
    0.68
     Doctors
    0.66
    Activations Density 0.321%

    No Known Activations