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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    references to persons, especially in legal, criminal or buisness contexts.

    oai_token-act-pair · gemini-2.0-flash

    legal/criminal proceedings

    np_max-act · 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
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    Negative Logits
    OGND
    -0.92
     يتيمه
    -0.90
     initComponents
    -0.85
    AndEndTag
    -0.85
    ArgsConstructor
    -0.83
    tagHelperRunner
    -0.83
     utafitiHapana
    -0.79
     itſelf
    -0.74
     myſelf
    -0.73
    ergies
    -0.72
    POSITIVE LOGITS
     vaste
    0.55
     a
    0.52
    hae
    0.51
     various
    0.49
     gli
    0.48
     le
    0.47
     an
    0.47
     more
    0.45
     realise
    0.45
     те
    0.45
    Activations Density 1.522%

    No Known Activations