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    3. Gemma-2-2B
    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases used legal or medical contexts such as "subject to", "undergo," or the names of lawyers such as "Stanford."

    oai_token-act-pair · gemini-2.0-flash

    Describing processes

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.81
    ंदीखरीदारी
    -0.66
    PositiveButton
    -0.60
     utafitiHapana
    -0.59
    setVerticalGroup
    -0.59
     AssemblyCompany
    -0.58
     ArrayAdapter
    -0.57
    fromnode
    -0.57
     AssemblyTitle
    -0.57
    RectangleBorder
    -0.56
    POSITIVE LOGITS
    Хьажоргаш
    0.66
    <bos>
    0.62
    erapeutics
    0.54
    InstrumentedTest
    0.51
    MeasureSpec
    0.50
    Catégorie
    0.48
     bapt
    0.48
     Besoin
    0.47
    offsetHeight
    0.47
     gauntlet
    0.46
    Activations Density 1.543%

    No Known Activations