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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 10834
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    references to eating and dietary habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     álcool
    -0.43
     magnétique
    -0.40
     algodão
    -0.40
     yıld
    -0.37
    UserEntity
    -0.36
     facteur
    -0.36
     cuivre
    -0.36
     agência
    -0.34
     πισ
    -0.34
     algodón
    -0.33
    POSITIVE LOGITS
     culinary
    1.85
     eating
    1.84
     gastronom
    1.82
     Eating
    1.80
    Eating
    1.80
     gourmet
    1.77
     meal
    1.73
     nutritional
    1.73
     food
    1.70
     meals
    1.70
    Activations Density 0.757%

    No Known Activations