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

    capitalized words or acronyms within the fields of medicine and technology

    oai_token-act-pair · gemini-2.0-flash

    Companies and medicine

    np_max-act-logits · gemini-2.0-flash

    company names Method used: 1 — because the max-activating tokens are beginnings of corporate or brand names; explanation: company names

    np_max-act-logits · gpt-5-miniTriggered by @chenshw0109
    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
     nahilalakip
    -0.76
     Esau
    -0.71
    KommentareTeilen
    -0.71
     aDecoder
    -0.71
     فہرست
    -0.69
    SourceChecksum
    -0.68
    PreferredItem
    -0.67
     Cæsar
    -0.66
     ویکی‌پدی
    -0.66
    TypedDataSet
    -0.65
    POSITIVE LOGITS
    Ex
    0.39
    Well
    0.37
    Max
    0.36
     Advanced
    0.36
    tel
    0.35
    ex
    0.35
    Gel
    0.35
    Point
    0.34
    Blue
    0.33
    Pro
    0.33
    Activations Density 4.430%

    No Known Activations