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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12860
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    Explanations

    references to medical conditions or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewFeatures
    -0.47
     تضيفلها
    -0.47
     insuffisamment
    -0.44
    تقاوى
    -0.44
    Datuak
    -0.44
     auriculares
    -0.43
     kasarigan
    -0.40
     économies
    -0.39
    expandindo
    -0.39
    PerformLayout
    -0.38
    POSITIVE LOGITS
     Rehabilitation
    0.64
     paralyzed
    0.60
     rehabilitation
    0.60
     disabilities
    0.60
     Neurological
    0.59
     motor
    0.59
     Motor
    0.57
     Disabilities
    0.56
     wheelchair
    0.56
     paralysis
    0.56
    Activations Density 0.530%

    No Known Activations