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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 4174
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    Explanations

    details related to vehicles and transportation logistics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    awtextra
    -0.47
    endregion
    -0.43
    WarningLevel
    -0.42
    kijken
    -0.38
    addGap
    -0.37
    daging
    -0.37
    RefreshLayout
    -0.37
     arqu
    -0.37
     propOrder
    -0.37
    Населення
    -0.36
    POSITIVE LOGITS
     parked
    0.96
     transporting
    0.83
     driven
    0.82
     operated
    0.78
     carrying
    0.75
     towed
    0.72
     owned
    0.71
     registered
    0.70
     painted
    0.69
     fitted
    0.69
    Activations Density 0.355%

    No Known Activations