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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to people being members of organizations, boards, or committees

    oai_token-act-pair · gemini-2.0-flash

    Capitalized words

    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
     Efq
    -1.03
     myſelf
    -1.02
     itſelf
    -0.94
     houſe
    -0.93
     pleaſure
    -0.88
     Jefus
    -0.88
     purpoſe
    -0.87
     himſelf
    -0.85
    ^(@)
    -0.83
     ſeveral
    -0.81
    POSITIVE LOGITS
     Country
    0.50
     Design
    0.49
     Last
    0.49
     médicaux
    0.49
     Network
    0.49
     Re
    0.48
     Market
    0.48
     State
    0.48
     Research
    0.47
    z
    0.47
    Activations Density 9.664%

    No Known Activations