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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 13834
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    references to wheels and steering wheels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flamen
    -0.47
     depred
    -0.46
     Santander
    -0.44
    ⓘ
    -0.44
     Sandstone
    -0.43
    Lindo
    -0.43
     ſy
    -0.43
    Transkript
    -0.41
     Shakspeare
    -0.41
     Bombardier
    -0.41
    POSITIVE LOGITS
     wheel
    0.85
    wheel
    0.73
     WHEEL
    0.73
    steering
    0.70
     Wheel
    0.70
    norm
    0.66
     steering
    0.65
    WHEEL
    0.61
    Wheel
    0.59
     wheeled
    0.59
    Activations Density 0.190%

    No Known Activations