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    3. Gemma-2-2B
    5. 24-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words related to sales and purchasing of homes, cars, and consumer goods

    oai_token-act-pair · gemini-2.0-flash

    buy or purchase

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.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
     buying
    -2.55
     Buying
    -2.38
     purchasing
    -2.28
    Buying
    -2.27
    buying
    -2.19
     purchase
    -2.00
     Purchasing
    -1.94
     buy
    -1.93
     bought
    -1.92
     BUY
    -1.91
    POSITIVE LOGITS
     betweenstory
    0.60
     '\\;'
    0.60
    aarrggbb
    0.59
     transfieras
    0.57
    gogo
    0.55
    Diweddarwch
    0.52
    bits
    0.50
    KommentareTeilen
    0.48
     Fin
    0.48
     himſelf
    0.46
    Activations Density 2.003%

    No Known Activations