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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 5375
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    references to professional athletes and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     quedo
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    出版年
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    /*++
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    enumi
    -0.37
     Normdatei
    -0.36
    Posi
    -0.36
    __(/*!
    -0.35
    点此举报
    -0.35
    POSITIVE LOGITS
    RegressionTest
    0.46
    postsleuth
    0.44
    verick
    0.43
    nextToken
    0.43
    MarshalTo
    0.42
     setia
    0.42
    󠁮
    0.41
    avaj
    0.41
    NewUrlParser
    0.41
    inheritDoc
    0.41
    Activations Density 0.276%

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