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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15998
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    INDEX
    Explanations

    references to large quantities and numerical data, particularly in millions and billions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     urbano
    -0.43
     workshops
    -0.41
    Streets
    -0.40
     Kal
    -0.40
     talleres
    -0.39
    Workshop
    -0.39
    Woodland
    -0.38
     artisan
    -0.37
     Woodland
    -0.37
     cielos
    -0.37
    POSITIVE LOGITS
     million
    1.15
     billion
    1.04
     Millionen
    0.99
    million
    0.96
     Million
    0.96
     milioane
    0.93
     Billion
    0.93
     miljoen
    0.93
     milioni
    0.93
     millions
    0.93
    Activations Density 0.452%

    No Known Activations