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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    names of people, characters, cities, or other entities

    oai_token-act-pair · 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
     Fort
    -0.55
    translateX
    -0.54
    कड
    -0.51
    Fort
    -0.49
     Sementara
    -0.47
    częściej
    -0.46
     corrispond
    -0.45
     Meanwhile
    -0.45
     thiếu
    -0.44
     indem
    -0.44
    POSITIVE LOGITS
    Vidite
    0.81
     EconPapers
    0.80
     Roskov
    0.67
    canestro
    0.64
    __':
    0.64
    userdetails
    0.63
    brainly
    0.63
    AsUp
    0.61
     AssemblyProduct
    0.61
    onViewCreated
    0.61
    Activations Density 8.124%

    No Known Activations