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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    mentions of location names, especially cities in Malaysia and Taiwan

    oai_token-act-pair · gemini-2.0-flash

    cities and towns

    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
    ########.
    -0.79
    northern
    -0.76
     eastern
    -0.73
    southern
    -0.72
    ंदीखरीदारी
    -0.71
    addPreferredGap
    -0.70
     western
    -0.70
     northern
    -0.70
    SizeF
    -0.69
     northeastern
    -0.68
    POSITIVE LOGITS
    The
    0.43
     Bandung
    0.43
     initView
    0.41
     Ruhr
    0.41
     Indus
    0.41
    ніципалі
    0.41
     sevilla
    0.40
     '<?
    0.40
    커
    0.40
     Sumer
    0.40
    Activations Density 7.200%

    No Known Activations