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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 8059
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    INDEX
    Explanations

    cooking instructions and culinary actions

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

    cooking or frying

    np_acts-logits-general · gemini-2.0-flash

    cooking and frying

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     archery
    -0.51
     demur
    -0.50
     limousine
    -0.45
    зра
    -0.45
    Security
    -0.45
    ába
    -0.43
    ærk
    -0.42
    Fiche
    -0.42
    isert
    -0.41
     Bár
    -0.41
    POSITIVE LOGITS
     frying
    1.34
     cooking
    1.25
     fry
    1.14
     cook
    1.12
    cooking
    1.04
     Cooking
    1.01
     cookware
    1.00
     cooks
    1.00
     skillet
    0.99
     COOK
    0.98
    Activations Density 0.091%

    No Known Activations