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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9679
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    medical terminology related to healthcare and specific diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     noDo
    -0.54
    pushFollow
    -0.52
    migrationBuilder
    -0.48
     Meksiku
    -0.48
     informée
    -0.46
     transfieras
    -0.46
    HandlerContext
    -0.45
    awtextra
    -0.44
    RTEE
    -0.42
    ectoria
    -0.42
    POSITIVE LOGITS
     specialty
    0.84
     specialists
    0.77
     specialist
    0.75
     speciality
    0.75
    specialty
    0.72
     gastroenter
    0.72
     uro
    0.71
     specialties
    0.71
     specialize
    0.70
     oncology
    0.70
    Activations Density 0.755%

    No Known Activations