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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    Japanese words and certain series names

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
     الحره
    -1.10
     initComponents
    -0.87
    expandindo
    -0.84
    BeginContext
    -0.79
     betweenstory
    -0.79
    PhysRev
    -0.78
    Autoritní
    -0.77
     lenker
    -0.75
    ьаж
    -0.73
     MainAxisSize
    -0.72
    POSITIVE LOGITS
    -
    0.38
    DOCTYPE
    0.37
    on
    0.36
    du
    0.35
     регистра
    0.35
     mueble
    0.33
     sfida
    0.33
     repuesto
    0.33
    šan
    0.33
    ség
    0.33
    Activations Density 0.865%

    No Known Activations