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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 5768
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    Explanations

    references to medical terms and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    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
    -0.52
     gustado
    -0.51
     Hälfte
    -0.50
     confianza
    -0.48
     Erwartungen
    -0.47
    shadowOpacity
    -0.47
     Kruse
    -0.47
     lentejuelas
    -0.46
     Finanzierung
    -0.46
     autoestima
    -0.46
    POSITIVE LOGITS
     medical
    1.05
     Medical
    1.01
     medically
    0.97
    Medical
    0.94
     MEDICAL
    0.94
    medical
    0.89
    MEDICAL
    0.85
     medica
    0.85
     Medic
    0.82
     médical
    0.81
    Activations Density 0.154%

    No Known Activations