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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns, especially names of people and places

    oai_token-act-pair · gemini-2.0-flash

    Names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    CppMethod
    -0.73
     préférence
    -0.73
    OGND
    -0.70
    таратура
    -0.69
    出版年
    -0.69
    AccessorTable
    -0.69
    
    -0.69
     متعلقه
    -0.68
     للاسماء
    -0.68
     hé
    -0.68
    POSITIVE LOGITS
     aikaa
    0.32
     Moslem
    0.31
     vastaan
    0.30
     Cæsar
    0.27
     Mahomet
    0.27
     Roscoe
    0.26
     Phry
    0.26
     elä
    0.24
     Persians
    0.24
     Vandal
    0.24
    Activations Density 13.731%

    No Known Activations