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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. 14563
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    Explanations

    references to product lines and models in commercial contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     fédé
    -0.34
    rån
    -0.33
     médicaux
    -0.32
    Numerade
    -0.32
     pinulongan
    -0.32
     mètres
    -0.31
     privado
    -0.31
    chauffer
    -0.30
     optique
    -0.30
     aislada
    -0.30
    POSITIVE LOGITS
     products
    0.85
     product
    0.72
     Produkten
    0.69
     produtos
    0.64
     Produkt
    0.63
     launches
    0.63
     produkter
    0.63
     launched
    0.62
     Products
    0.62
     Produkte
    0.62
    Activations Density 0.405%

    No Known Activations