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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 472
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    programming structures and resource management in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     CreateTagHelper
    -0.59
    Билгалдахарш
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    脚注の使い方
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    utilisons
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    AndEndTag
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     nakalista
    -0.40
    Microkernel
    -0.39
    verwijspagina
    -0.38
    Cyfeiriadau
    -0.38
     tiba
    -0.38
    POSITIVE LOGITS
     translations
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     translation
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     translated
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     localize
    0.85
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    0.85
     localization
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     localized
    0.81
     messages
    0.79
     Translation
    0.79
     Localization
    0.77
    Activations Density 0.421%

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