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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7275
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    phrases related to quality and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    MigrationBuilder
    -0.56
     surla
    -0.51
     snippetHide
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    ніципалі
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    ագրություններ
    -0.44
    
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    Referanser
    -0.43
    どのような
    -0.42
    Ārējās
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    Referències
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    POSITIVE LOGITS
    ServiceException
    0.44
     CURIAM
    0.43
     PERFORMANCE
    0.41
    Performance
    0.41
    ficiencia
    0.40
    RegistryLite
    0.40
     Performance
    0.39
     milieux
    0.39
     تضيفلها
    0.38
    PERFORMANCE
    0.38
    Activations Density 0.248%

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