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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. 15597
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    references to titanium and tibial components in medical or technical contexts

    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
    addContainerGap
    -0.41
    存于互联网档案馆
    -0.37
     ακό
    -0.35
    leyebilirsiniz
    -0.34
    ----</
    -0.34
    abs
    -0.33
    Kilder
    -0.33
     okuyayım
    -0.33
    addGap
    -0.32
    Enciclopedia
    -0.32
    POSITIVE LOGITS
     '\\;'
    0.68
     AssemblyCulture
    0.63
    AddTagHelper
    0.56
    Diwedd
    0.55
    principalColumn
    0.54
    TacToe
    0.53
     tetrachloride
    0.51
     Ti
    0.50
     Tila
    0.50
     marmor
    0.49
    Activations Density 0.177%

    No Known Activations