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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9708
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    references to practice and improvement-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.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
     oprot
    -0.73
     AssemblyCompany
    -0.71
     dAtA
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     NSCoder
    -0.63
    ConstraintMaker
    -0.63
    BoxShadow
    -0.57
     Vikipedi
    -0.56
    aarrggbb
    -0.56
    BeginContext
    -0.55
    POSITIVE LOGITS
     practice
    0.63
    Practice
    0.63
    練習
    0.63
    practice
    0.62
     training
    0.60
    练习
    0.59
     latihan
    0.58
     PRACTICE
    0.58
    training
    0.57
    Training
    0.57
    Activations Density 0.115%

    No Known Activations