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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2883
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    Explanations

    culinary terms associated with specific food items, particularly sandwiches and burgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    burgers and cheeseburgers

    np_acts-logits-general · gemini-2.0-flash

    burgers and hamburgers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wineries
    -0.64
    rungsseite
    -0.63
     somme
    -0.62
     Vineyards
    -0.60
     otomatig
    -0.60
     AssemblyCulture
    -0.60
     cigars
    -0.60
    Champagne
    -0.60
    thyst
    -0.60
     rượu
    -0.59
    POSITIVE LOGITS
     burger
    0.85
     fries
    0.77
     sandwich
    0.73
     hamburger
    0.70
    sandwich
    0.69
     Burger
    0.68
     order
    0.66
     burgers
    0.66
    🍔
    0.66
     patty
    0.65
    Activations Density 0.144%

    No Known Activations