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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns like place names, organization names, and people's names, as well as words associated with those labels

    oai_token-act-pair · gemini-2.0-flash

    organizations

    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
    SourceChecksum
    -1.00
    oredCriteria
    -0.91
    OGND
    -0.82
    WriteTagHelper
    -0.76
    sizeCache
    -0.73
    parsedMessage
    -0.71
    enderror
    -0.71
    OCCURRED
    -0.71
    HasForeignKey
    -0.69
    Personendaten
    -0.69
    POSITIVE LOGITS
     thérape
    0.50
    共享
    0.49
     competen
    0.48
     knji
    0.46
    InSection
    0.46
     Qualification
    0.45
    TCHAR
    0.44
     Ado
    0.43
     sèche
    0.43
    korb
    0.42
    Activations Density 25.554%

    No Known Activations