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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    The neuron detects words starting with "ter" and "meg"

    oai_token-act-pair · gemini-2.0-flash

    Ter

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
     חיצוניים
    -0.73
     Trad
    -0.56
     appelez
    -0.56
    '},
    -0.55
    "]).
    -0.54
     Tham
    -0.54
     cú
    -0.52
     clc
    -0.50
    .'</
    -0.50
    "):
    -0.50
    POSITIVE LOGITS
    原始内容存档于
    0.62
     propOrder
    0.55
    SuppressMessage
    0.52
    messageInfo
    0.52
    migrationBuilder
    0.50
    mybatisplus
    0.50
    baomidou
    0.48
    Erreferentziak
    0.47
    photobucket
    0.47
     protoimpl
    0.47
    Activations Density 2.340%

    No Known Activations