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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8632
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    terms related to medical contexts and healthcare-related fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flucht
    -0.51
     vrijwilli
    -0.51
     lentejuelas
    -0.48
     Hälfte
    -0.47
     gantung
    -0.47
     Erwartungen
    -0.46
     anteriore
    -0.44
     reprezenta
    -0.43
     enthusiasm
    -0.43
     Kruse
    -0.42
    POSITIVE LOGITS
     medical
    1.41
     Medical
    1.29
    Medical
    1.27
     MEDICAL
    1.25
    medical
    1.24
     medically
    1.18
    MEDICAL
    1.16
     médical
    1.05
     medica
    1.02
     médicale
    0.99
    Activations Density 0.205%

    No Known Activations