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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. 2937
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    Explanations

    anatomical references related to human bodies and injuries

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    preprocessing
    -0.39
    izielle
    -0.39
    odeon
    -0.38
     trekken
    -0.37
    LEncoder
    -0.35
     sfor
    -0.35
     keuken
    -0.35
    "?>
    -0.35
     eten
    -0.35
     Northwestern
    -0.34
    POSITIVE LOGITS
     neck
    0.67
    IContainer
    0.67
     Neck
    0.65
    Shoulder
    0.63
     Chest
    0.62
    SourceChecksum
    0.60
    Neck
    0.60
     torso
    0.59
     chest
    0.57
    neck
    0.57
    Activations Density 0.316%

    No Known Activations