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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. 12016
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    Explanations

    references to medical terminology and professions

    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
     gantung
    -0.47
     Flucht
    -0.43
     ustedes
    -0.42
     protagonist
    -0.41
     Gestaltung
    -0.40
     gră
    -0.40
     lentejuelas
    -0.40
     lluvias
    -0.40
     favourable
    -0.40
     vrijwilli
    -0.40
    POSITIVE LOGITS
     medical
    1.68
     Medical
    1.55
    Medical
    1.48
     MEDICAL
    1.48
    medical
    1.48
    MEDICAL
    1.36
     medically
    1.35
     médical
    1.27
     médicale
    1.19
     medis
    1.16
    Activations Density 0.167%

    No Known Activations