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

    things related to the word "mass" or words that often appear in company or trademark names

    oai_token-act-pair · gemini-2.0-flash

    patents and research

    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
     jScrollPane
    -0.93
    Personendaten
    -0.90
     للاسماء
    -0.90
     ProtoMessage
    -0.90
    rungsseite
    -0.82
    +#+#
    -0.81
     समीक्षक
    -0.79
     EconPapers
    -0.75
     AspNetCore
    -0.75
     utafitiHapana
    -0.73
    POSITIVE LOGITS
    ensaft
    0.43
    tilus
    0.42
    omyia
    0.42
    frutar
    0.41
    cator
    0.41
    cali
    0.39
    apol
    0.39
    บริ
    0.39
    caro
    0.38
    caching
    0.38
    Activations Density 2.550%

    No Known Activations