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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    frequently used short words such as prepositions and conjunctions, regardless of context.

    oai_token-act-pair · gemini-2.0-flash

    say "as or to"

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
     automatiques
    -0.92
     chrétiens
    -0.82
     gangen
    -0.81
     chré
    -0.79
     precisione
    -0.79
     démocr
    -0.78
     militaires
    -0.78
     termica
    -0.77
     sauvages
    -0.75
     Grecs
    -0.74
    POSITIVE LOGITS
     AssemblyCulture
    0.84
    awtextra
    0.76
    zeera
    0.69
    rungsseite
    0.65
     kasarigan
    0.64
    
    0.64
     Réponses
    0.63
     calendriers
    0.63
    RegressionTest
    0.63
     lot
    0.62
    Activations Density 12.342%

    No Known Activations