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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9539
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    references to body parts and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    双手
    -0.65
     händer
    -0.62
    Hands
    -0.60
     Ends
    -0.59
    Eyes
    -0.59
    parsedMessage
    -0.58
     Hände
    -0.58
     Hands
    -0.54
     Sides
    -0.53
     Eyes
    -0.53
    POSITIVE LOGITS
     ear
    0.92
     shoulder
    0.86
     leg
    0.84
     arm
    0.83
     cheek
    0.78
     eye
    0.78
     foot
    0.76
     elbow
    0.74
     knee
    0.72
     hand
    0.71
    Activations Density 0.526%

    No Known Activations