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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10147
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    Explanations

    prominent names of individuals, particularly those associated with medical or entrepreneurial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ByVersion
    -0.43
    ViewById
    -0.40
    setVerticalGroup
    -0.40
    exprimer
    -0.40
    原始内容存档于
    -0.39
    casian
    -0.39
    ándo
    -0.38
    Hentet
    -0.36
    æng
    -0.36
    InputBorder
    -0.35
    POSITIVE LOGITS
     Deep
    0.68
     Nit
    0.62
    Deep
    0.60
     Pra
    0.60
     Dip
    0.54
    Nit
    0.53
     Sud
    0.52
     Sheet
    0.52
     Sh
    0.52
     Ash
    0.52
    Activations Density 0.158%

    No Known Activations