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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10836
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    references to the medical field and healthcare-related subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.68
     nonUne
    -0.58
     Infórmanos
    -0.57
    yargs
    -0.54
     lenker
    -0.54
    Derbyniad
    -0.51
     ujednoznacz
    -0.51
     pajero
    -0.50
    
    -0.48
     devoirs
    -0.47
    POSITIVE LOGITS
     medical
    0.88
     patient
    0.88
     healthcare
    0.82
     clinical
    0.82
     patients
    0.81
     medicine
    0.78
     Medical
    0.78
     medically
    0.77
     Patient
    0.77
     Healthcare
    0.73
    Activations Density 2.701%

    No Known Activations