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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases related to business and legal contexts, particularly involving company names, dates, and formal business dealings

    oai_token-act-pair · gemini-2.0-flash

    companies

    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
    DFA
    -0.48
     Geraldine
    -0.46
     vekt
    -0.44
     spirituelle
    -0.44
    AndEndTag
    -0.43
    Offsets
    -0.42
     Cavendish
    -0.42
    protoimpl
    -0.42
    ما
    -0.42
     Yard
    -0.41
    POSITIVE LOGITS
    EndInit
    0.68
    rovnik
    0.63
     препратки
    0.59
    UnusedPrivate
    0.58
    __(/*!
    0.57
    ніципалі
    0.57
    ligently
    0.55
    })$}
    0.55
     orphan
    0.53
    tocks
    0.53
    Activations Density 4.174%

    No Known Activations