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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14557
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    Explanations

    numerical data related to medical procedures and outcomes

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    رشف
    -0.39
    kuuta
    -0.37
    llary
    -0.35
    WriteLiteral
    -0.30
    ybė
    -0.30
    MatInputModule
    -0.30
     informée
    -0.29
     Вікіпе
    -0.29
    地上
    -0.28
     phòng
    -0.28
    POSITIVE LOGITS
     average
    3.14
    average
    2.75
    Average
    2.67
     Average
    2.67
    平均
    2.52
     AVERAGE
    2.45
     averages
    2.44
     avg
    2.34
     averaged
    2.34
    AVERAGE
    2.33
    Activations Density 1.592%

    No Known Activations