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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 11861
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    Explanations

    phrases related to food and dining experiences

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

    eating and types of food

    np_acts-logits-general · gemini-2.0-flash

    food, meals, and cuisine

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     متعلقه
    -0.58
    RegressionTest
    -0.57
    CloseOperation
    -0.53
    FromArgb
    -0.51
     виправивши
    -0.51
    ChromeDriver
    -0.51
    withIdentifier
    -0.50
    virons
    -0.49
    batore
    -0.49
    Personendaten
    -0.48
    POSITIVE LOGITS
     food
    2.03
     meals
    2.02
     meal
    1.88
     cuisine
    1.69
    food
    1.67
     foods
    1.67
     comida
    1.64
     eating
    1.63
     dining
    1.61
    Food
    1.53
    Activations Density 0.389%

    No Known Activations