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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. 7321
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    INDEX
    Explanations

    food-related descriptors and evaluations in a culinary context

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

    Food quality or taste

    np_acts-logits-general · gemini-2.0-flash

    food quality adjectives

    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
     désolés
    -0.56
    adə
    -0.52
    Jeografia
    -0.51
    SystemColors
    -0.51
     Direktor
    -0.50
    ámenes
    -0.50
     Fassung
    -0.47
     potra
    -0.47
    肃
    -0.46
    parti
    -0.46
    POSITIVE LOGITS
     delicious
    1.20
     tasty
    1.19
     taste
    1.04
     fresh
    1.04
     yummy
    1.00
     FRESH
    0.97
     tasted
    0.96
     tastes
    0.96
     flavorful
    0.95
    delicious
    0.95
    Activations Density 0.074%

    No Known Activations