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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6537
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    Explanations

    references to healthcare professionals and their qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.48
     autorytatywna
    -0.47
    Eksteraj
    -0.46
    DrawerToggle
    -0.46
    contentLoaded
    -0.43
    withIdentifier
    -0.42
     nonUne
    -0.42
    protoimpl
    -0.41
     للاسماء
    -0.41
     незавершена
    -0.39
    POSITIVE LOGITS
     nursing
    1.97
     nurse
    1.92
     Nursing
    1.80
     nurses
    1.79
    Nursing
    1.77
     Nurse
    1.73
    Nurse
    1.63
    nursing
    1.62
     Nurses
    1.60
    nurse
    1.60
    Activations Density 0.435%

    No Known Activations