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    5. 18-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    proper nouns that are corporations or trade names

    oai_token-act-pair · gemini-2.0-flash

    proper nouns and organizations

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_18/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    Mur
    -0.50
     Mur
    -0.47
    捗
    -0.46
    siy
    -0.41
    apunov
    -0.40
    jose
    -0.40
     burden
    -0.39
     borne
    -0.39
    haf
    -0.39
    СС
    -0.39
    POSITIVE LOGITS
     hoppas
    0.70
     sanitaires
    0.63
     parlant
    0.61
     sabbia
    0.61
    tanleria
    0.60
    رشف
    0.59
    expandindo
    0.57
    Pranala
    0.56
     noires
    0.55
    ValueStyle
    0.55
    Activations Density 1.143%

    No Known Activations