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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. 15135
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    details related to patient demographics and treatment outcomes in medical studies

    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
    Not in Any Lists

    No Comments

    Negative Logits
    WithIOException
    -0.54
     informée
    -0.46
    )_/¯
    -0.42
    matous
    -0.41
     tyran
    -0.40
    erapeutic
    -0.40
     كومونز
    -0.38
     eventdata
    -0.38
    ⤹
    -0.37
     Chap
    -0.37
    POSITIVE LOGITS
     average
    1.12
    平均
    0.98
    Average
    0.97
     Average
    0.97
    average
    0.96
     averaged
    0.95
     durchschnitt
    0.90
     averages
    0.90
     Avg
    0.84
     AVERAGE
    0.84
    Activations Density 0.722%

    No Known Activations