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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    names, especially Indian names and twitter handles

    oai_token-act-pair · gemini-2.0-flash

    India and Tamil

    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
     enfans
    -0.85
     auroit
    -0.77
     avoient
    -0.77
     nôtre
    -0.74
     feroit
    -0.74
    WriteTagHelper
    -0.73
     étoit
    -0.71
     ainfi
    -0.71
    цездатний
    -0.70
     étoient
    -0.70
    POSITIVE LOGITS
     Tamil
    0.56
     India
    0.51
     Kerala
    0.50
    krish
    0.48
    R
    0.48
    kala
    0.47
     R
    0.47
    sel
    0.47
     mahar
    0.47
     Madras
    0.46
    Activations Density 1.809%

    No Known Activations