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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 733
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    references to sports teams and their performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Karya
    -0.45
    uvo
    -0.44
     Reality
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    ieri
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    quali
    -0.41
    SSF
    -0.41
     Sewell
    -0.41
     quali
    -0.41
     compro
    -0.40
     typelib
    -0.40
    POSITIVE LOGITS
     EconPapers
    1.10
    SourceChecksum
    0.89
    脚注の使い方
    0.83
    XmlAccessType
    0.80
    bootstrapcdn
    0.80
     NSCoder
    0.79
    TypedDataSet
    0.78
    出版年
    0.78
     ***!
    0.76
    UnusedPrivate
    0.75
    Activations Density 0.089%

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