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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. 13160
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    Explanations

    references to diseases and related medical conditions

    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
     StringTokenizer
    -0.57
     Meksika
    -0.52
     appreciating
    -0.50
     glú
    -0.50
     bailarina
    -0.50
     embarazada
    -0.49
     küpe
    -0.49
     squats
    -0.48
     grandparents
    -0.48
    Space
    -0.47
    POSITIVE LOGITS
     disease
    1.57
     Disease
    1.41
    disease
    1.34
    Disease
    1.30
     DISEASE
    1.26
     diseases
    1.25
     malattia
    1.24
     illness
    1.23
     ziekte
    1.13
     sickness
    1.12
    Activations Density 0.360%

    No Known Activations