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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10907
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    Explanations

    names of players and notable figures in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.66
    ThroughAttribute
    -0.54
    WithIOException
    -0.49
    fillType
    -0.48
    rungsseite
    -0.44
     Roskov
    -0.43
    transQ
    -0.43
     Schülern
    -0.43
     AssemblyCompany
    -0.42
     autorytatywna
    -0.42
    POSITIVE LOGITS
     فريبيس
    0.60
    migrationBuilder
    0.57
    chengladbach
    0.51
     Uns
    0.50
     Tamb
    0.49
     Trig
    0.48
     desc
    0.47
     Und
    0.47
     Flo
    0.47
     Sog
    0.46
    Activations Density 0.947%

    No Known Activations