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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 10495
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    specific numerical references and identifiers used in academic citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    页面存档备份
    -0.47
    dique
    -0.42
    ſelf
    -0.40
     Bah
    -0.40
     roman
    -0.39
     Min
    -0.39
    trailer
    -0.39
    rail
    -0.39
    ENGL
    -0.39
    theore
    -0.38
    POSITIVE LOGITS
     @"/
    0.61
    发表于
    0.57
     nahilalakip
    0.56
     שוליים
    0.54
     nakalista
    0.53
    DockStyle
    0.50
    IBOutlet
    0.46
    errHandler
    0.46
     становника
    0.46
    InjectAttribute
    0.45
    Activations Density 0.552%

    No Known Activations