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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13462
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    references to athletes and their performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyTitle
    -0.47
    LookAnd
    -0.46
    Erreferentziak
    -0.45
    setVerticalGroup
    -0.41
     Menschheit
    -0.39
     معرض
    -0.36
     Esau
    -0.36
    ьаж
    -0.36
    Espèce
    -0.35
    出版年
    -0.35
    POSITIVE LOGITS
     averaged
    0.70
     racked
    0.60
     scored
    0.57
     totaled
    0.57
     averaging
    0.56
    averaged
    0.56
     tallied
    0.55
     led
    0.55
     played
    0.55
    SharedCtor
    0.54
    Activations Density 0.294%

    No Known Activations