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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns related to companies, universities, or legal entities, sometimes in conjunction with dates and organizational terms

    oai_token-act-pair · gemini-2.0-flash

    during

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
    
    -0.46
    igslist
    -0.46
    tamol
    -0.43
    andaş
    -0.42
    imageshack
    -0.41
    rdı
    -0.41
     anticipo
    -0.40
    MathML
    -0.40
    lež
    -0.40
     StatelessWidget
    -0.40
    POSITIVE LOGITS
     during
    2.47
    during
    2.22
     During
    2.19
     DURING
    2.09
    During
    2.06
     durante
    2.05
    durante
    1.89
    Durante
    1.80
     Durante
    1.69
     tijdens
    1.69
    Activations Density 3.886%

    No Known Activations