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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the names of companies as well as the words "office" and "offices"

    oai_token-act-pair · gemini-2.0-flash

    office or working

    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
     simulators
    -0.50
     pyplot
    -0.46
     vred
    -0.45
    chartInstance
    -0.44
    NRAS
    -0.42
    laubnis
    -0.42
    oprecip
    -0.41
     Academies
    -0.39
    Regressor
    -0.38
    ventil
    -0.38
    POSITIVE LOGITS
     office
    1.73
     working
    1.52
     Working
    1.49
    Working
    1.48
    office
    1.48
     offices
    1.45
     Office
    1.41
     OFFICE
    1.35
    Office
    1.34
    working
    1.34
    Activations Density 2.808%

    No Known Activations