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    5. 25-GEMMASCOPE-TRANSCODER-16K
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    medical research papers, identifying study details and citations

    oai_token-act-pair · gemini-2.0-flash

    \]

    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
    </strong>
    -1.17
    </b>
    -1.16
    </h4>
    -1.05
    </u>
    -1.01
    </code>
    -0.94
    </h1>
    -0.91
    </sub>
    -0.91
    </i>
    -0.88
    </em>
    -0.88
    </h3>
    -0.85
    POSITIVE LOGITS
     lenker
    0.68
    TagMode
    0.65
    Lähteet
    0.65
    BibitemShut
    0.62
    ukone
    0.62
     kasarigan
    0.61
    קישורים
    0.61
    
    0.61
     VIDEOTAPE
    0.60
    PMailer
    0.59
    Activations Density 28.711%

    No Known Activations