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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5597
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    Explanations

    references to chefs and culinary professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     gynhyrchwyd
    -0.56
     autorytatywna
    -0.53
     nahilalakip
    -0.52
     ubezpiec
    -0.46
    asteroide
    -0.46
     Fibre
    -0.44
     Versicherung
    -0.43
     bensin
    -0.43
     kantoor
    -0.43
    wiek
    -0.43
    POSITIVE LOGITS
     cooking
    2.03
     chef
    1.90
     chefs
    1.88
     cook
    1.86
     cooks
    1.83
     kitchen
    1.80
     culinary
    1.80
     Chef
    1.76
     kitchens
    1.75
     Cooking
    1.73
    Activations Density 0.338%

    No Known Activations