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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words related to work situations like jobs, career, insurance, and teamwork

    oai_token-act-pair · gemini-2.0-flash

    employee and employer

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
     SESSION
    -0.50
    testnet
    -0.43
     chí
    -0.42
     extradition
    -0.41
    laise
    -0.41
     Session
    -0.41
     Astrophysical
    -0.41
    bernador
    -0.41
     session
    -0.41
    asyarakat
    -0.40
    POSITIVE LOGITS
     employee
    1.67
     employees
    1.60
     Employee
    1.53
     employers
    1.48
     Employees
    1.46
     employer
    1.46
    employee
    1.42
    Employees
    1.42
    Employee
    1.38
     workplace
    1.38
    Activations Density 16.236%

    No Known Activations