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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9709
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    INDEX
    Explanations

    statistical measurements and diagnostic performance metrics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    AutoresizingMask
    -0.52
    Bronnen
    -0.50
     مشين
    -0.49
     initComponents
    -0.49
     Alter
    -0.49
    uvwxyz
    -0.48
     Whi
    -0.47
     Wim
    -0.47
    ALTER
    -0.47
     TIG
    -0.47
    POSITIVE LOGITS
     accuracy
    0.69
     Accuracy
    0.53
     performance
    0.52
     desempenho
    0.50
    accuracy
    0.48
     efficiency
    0.47
     kinerja
    0.45
    printStats
    0.45
    Accuracy
    0.44
     précision
    0.44
    Activations Density 0.397%

    No Known Activations