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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11574
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    references to hotel booking features and review platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    providedIn
    -0.46
    nloa
    -0.44
     QtWidgets
    -0.44
    tagext
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     للاسماء
    -0.41
     الحره
    -0.40
    SizeMode
    -0.39
    usercontent
    -0.39
    原始内容存档于
    -0.39
     Савезне
    -0.39
    POSITIVE LOGITS
    Expedia
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     Expedia
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    rrggbb
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    extAlignment
    0.44
    ☌
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    posy
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    burberry
    0.40
    Autoritní
    0.40
     playmobil
    0.40
     prioriti
    0.39
    Activations Density 0.129%

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