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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 29944
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    Explanations

    key terms related to datasets, particularly in the context of data analysis and machine learning competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dataset and benchmark data

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    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
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    Negative Logits
    MENAFN
    -0.67
     camicia
    -0.60
     prossima
    -0.58
     SwiftUI
    -0.56
     orgull
    -0.52
     plateado
    -0.52
    Przypisy
    -0.52
     estrategias
    -0.52
     visione
    -0.51
     насеље
    -0.51
    POSITIVE LOGITS
     dataset
    0.85
     datasets
    0.73
     Dataset
    0.63
     downloaded
    0.60
    dataset
    0.57
     test
    0.57
     samples
    0.56
    ADATA
    0.56
     benchmark
    0.56
     testData
    0.56
    Activations Density 0.276%

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