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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12550
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    references to statistical data and analysis methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    참고
    -0.48
     JpaRepository
    -0.44
    posedge
    -0.40
    athyroid
    -0.40
    JdbcTemplate
    -0.40
     bezeichneter
    -0.40
    adhy
    -0.38
    inSlope
    -0.36
     VIDEOTAPE
    -0.36
    CommandText
    -0.36
    POSITIVE LOGITS
     PLOS
    0.62
     PLoS
    0.61
    PLOS
    0.54
    PreferredItem
    0.51
    出版年
    0.48
     = 
    0.45
     LCCN
    0.44
     Roskov
    0.44
    #+#
    0.43
    InitVars
    0.43
    Activations Density 1.400%

    No Known Activations