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    5. 12-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    job titles consisting of multiple words with "executive" or "officer" in them

    oai_token-act-pair · gemini-2.0-flash

    executive titles

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_12/width_16k/average_l0_6
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.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
    DeleteMapping
    -0.45
    ainte
    -0.45
    inghouse
    -0.44
    andescent
    -0.44
    iterranée
    -0.42
    tières
    -0.42
     Hypo
    -0.40
     prepar
    -0.40
    ALUM
    -0.40
     Fenster
    -0.39
    POSITIVE LOGITS
     kasarigan
    0.67
    TestingModule
    0.66
    Datuak
    0.66
     Vikipedi
    0.65
    DockStyle
    0.65
     كومونز
    0.64
    TagMode
    0.64
    WriteBarrier
    0.61
    __(/*!
    0.60
    PYX
    0.60
    Activations Density 0.201%

    No Known Activations