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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 5320
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    INDEX
    Explanations

    proper nouns and specific references to people, titles, and organizations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    with diacritics/accents

    np_acts-logits-general · gemini-2.0-flash

    accented words or proper nouns

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     المعيارى
    -0.83
    وردار
    -0.61
     cherchés
    -0.60
     Paglinawan
    -0.59
    mogat
    -0.59
    Љ
    -0.58
    csolódó
    -0.57
     estimés
    -0.56
     access
    -0.56
     похо
    -0.55
    POSITIVE LOGITS
     doughnuts
    0.85
    acán
    0.78
    })`
    0.75
     Beyoncé
    0.75
    hitheatre
    0.75
     Yucatán
    0.74
     Citroën
    0.74
     Bogotá
    0.74
     Erdoğan
    0.73
    Portail
    0.73
    Activations Density 0.301%

    No Known Activations