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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words commonly found in contracts and legal or bureaucratic writing.

    oai_token-act-pair · gemini-2.0-flash

    Technical context

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     scratching
    -0.72
     punching
    -0.72
     whipping
    -0.71
     blasting
    -0.71
     tearing
    -0.71
     warping
    -0.70
     cursing
    -0.70
     pinning
    -0.69
     choking
    -0.69
     licking
    -0.69
    POSITIVE LOGITS
    parsedMessage
    0.62
    AddTagHelper
    0.54
    TypedDataSet
    0.54
    RTDA
    0.53
    esez
    0.49
     saites
    0.49
     Wikimedijinoj
    0.49
    XmlEnum
    0.47
     Scatter
    0.47
    ñera
    0.46
    Activations Density 9.857%

    No Known Activations