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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, particularly of places like cities, regions and countries, along with organizations and sometimes job titles

    oai_token-act-pair · gemini-2.0-flash

    government or organizations

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    ViewFeatures
    -0.60
    adaptiveStyles
    -0.54
     بيها
    -0.53
     समीक्षाएं
    -0.52
    SnackBar
    -0.52
    agisse
    -0.52
    ********/
    -0.51
    Hozzáférés
    -0.51
    SOUNDBITE
    -0.51
    RegistryLite
    -0.50
    POSITIVE LOGITS
    /></
    0.56
     poche
    0.50
    UserScript
    0.49
     مشين
    0.48
     kasarigan
    0.48
     igaz
    0.47
    สัง
    0.46
    estacks
    0.46
    +:+
    0.46
    WithTag
    0.46
    Activations Density 1.383%

    No Known Activations