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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 4100
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    Explanations

    references to clothing and attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.71
    principalTable
    -0.66
    WriteBarrier
    -0.64
    JspWriter
    -0.63
    Cordialement
    -0.62
     rocher
    -0.60
     Médico
    -0.60
    DeleteCommand
    -0.60
    parseDouble
    -0.58
    createTextNode
    -0.58
    POSITIVE LOGITS
     dress
    0.85
     attire
    0.84
     dressed
    0.76
    wearing
    0.73
     wearing
    0.72
     gown
    0.68
     donned
    0.67
    Wearing
    0.67
     costume
    0.65
     Dress
    0.63
    Activations Density 0.034%

    No Known Activations