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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8287
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    Explanations

    parameters related to data filtering and selection processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    MLLoader
    -0.53
    autoIncrement
    -0.51
    
    -0.48
    SequentialGroup
    -0.47
     }{@
    -0.45
    KommentareTeilen
    -0.45
    хьтан
    -0.43
    AndFlush
    -0.42
    medriver
    -0.41
    UrlResolution
    -0.41
    POSITIVE LOGITS
     selection
    0.79
     filter
    0.77
     Selection
    0.73
     sele
    0.72
     select
    0.71
     selective
    0.71
     filtered
    0.69
     filtering
    0.68
     selectively
    0.67
     selezion
    0.67
    Activations Density 1.092%

    No Known Activations