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    5. 3-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    people's names, and words that often follow names, like pronouns and job titles

    oai_token-act-pair · gemini-2.0-flash

    Names

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_3/width_16k/average_l0_54
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.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
    ImageContext
    -0.54
     mereka
    -0.45
     their
    -0.45
     them
    -0.44
     they
    -0.44
    LocalizedString
    -0.43
     it
    -0.42
     its
    -0.42
     independiente
    -0.41
     Their
    -0.41
    POSITIVE LOGITS
     myſelf
    0.71
    ándome
    0.67
     للمعارف
    0.67
     kasarigan
    0.67
    Datuak
    0.65
    Notae
    0.64
     Extragalactic
    0.64
    __":
    0.63
    mijn
    0.62
    Gön
    0.61
    Activations Density 0.950%

    No Known Activations