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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3676
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    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     uſed
    -0.61
     whoſe
    -0.60
     itſelf
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     Мексичка
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    EndContext
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     Wikipédia
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     eſt
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     myſelf
    -0.53
     ſol
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     Савезне
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    POSITIVE LOGITS
     ProtoMessage
    0.39
    TargetException
    0.35
    findpost
    0.33
    cjs
    0.31
     deeds
    0.30
    šinou
    0.30
     Verme
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     выда
    0.30
    ough
    0.30
    yarnpkg
    0.29
    Activations Density 0.153%

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