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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6158
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    Explanations

    references to transportation and smuggling activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RectangleBorder
    -0.56
     initComponents
    -0.56
     betweenstory
    -0.54
     houſe
    -0.52
    請繼續往下閱讀
    -0.52
     propOrder
    -0.51
     InputDecoration
    -0.51
    featureID
    -0.51
    spender
    -0.50
     Houſe
    -0.50
    POSITIVE LOGITS
     transporting
    0.81
     transported
    0.80
     transport
    0.77
     transports
    0.70
     trasporto
    0.66
     транспорти
    0.65
     traslado
    0.64
     transportar
    0.64
     transportation
    0.63
     transporte
    0.61
    Activations Density 0.434%

    No Known Activations