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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10917
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    INDEX
    Explanations

    words and phrases related to food quality and culinary styles

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

    before different types of food

    np_acts-logits-general · gemini-2.0-flash

    food and fare

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.98
     otomatig
    -0.78
    tvguidetime
    -0.78
    findpost
    -0.77
     فريبيس
    -0.77
    $_['
    -0.77
     ویکی‌پدیا
    -0.72
     INTERESAR
    -0.72
     estekak
    -0.72
    EDEFAULT
    -0.68
    POSITIVE LOGITS
     food
    2.58
    food
    2.06
     foods
    1.80
     Food
    1.78
     FOOD
    1.78
    Food
    1.77
     cibo
    1.60
    FOOD
    1.58
     nourriture
    1.52
     comida
    1.45
    Activations Density 0.193%

    No Known Activations