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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8948
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    keywords related to programming and model loading in machine learning contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     LSTM
    -0.60
     RNN
    -0.56
    TagMode
    -0.52
     aDecoder
    -0.49
     onPostExecute
    -0.49
    LSTM
    -0.49
    RNN
    -0.48
    MessageTagHelper
    -0.48
     sqlSession
    -0.48
    ViewImports
    -0.48
    POSITIVE LOGITS
     suspensão
    0.48
     vit
    0.36
    InjectAttribute
    0.36
    ślę
    0.35
    StoreMessageInfo
    0.32
     gł
    0.32
     carteira
    0.32
     يتيمه
    0.32
     suspensión
    0.31
     classificação
    0.31
    Activations Density 0.145%

    No Known Activations