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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4277
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    Explanations

    terms indicative of culinary expertise and restaurant quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pétrole
    -0.70
     duração
    -0.55
     pubblicità
    -0.53
     ufficio
    -0.53
     conflits
    -0.51
     réunions
    -0.51
     omnes
    -0.50
     виправивши
    -0.50
     publicité
    -0.49
     paranoid
    -0.49
    POSITIVE LOGITS
     chef
    0.85
     chefs
    0.83
     cuisine
    0.79
     dining
    0.78
     culinary
    0.78
     restaurant
    0.75
     kitchen
    0.75
     restaurants
    0.74
     Chef
    0.73
     gastronom
    0.71
    Activations Density 0.137%

    No Known Activations