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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. 10922
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    references to tables in a document

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Goodwin
    -0.49
     Kers
    -0.47
     BOOST
    -0.47
     Breen
    -0.46
     Kenn
    -0.45
     Griffith
    -0.45
     Schon
    -0.45
    creds
    -0.44
     boost
    -0.43
    excess
    -0.43
    POSITIVE LOGITS
     table
    1.66
     Table
    1.62
    Table
    1.58
    table
    1.34
     tables
    1.29
     Tables
    1.27
    TABLE
    1.27
     TABLE
    1.26
    getTable
    1.20
    Tables
    1.11
    Activations Density 0.081%

    No Known Activations