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    5. 4-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    proper nouns related to companies, people, and financial terms.

    oai_token-act-pair · gemini-2.0-flash

    Finance/Business

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_4/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    LookAnd
    -0.65
     referrerpolicy
    -0.63
    ]--;
    -0.58
    :]:
    -0.58
    ยว
    -0.57
     <<<<<<<<<<<<<<
    -0.56
     Theſe
    -0.52
    ſelf
    -0.52
    URLException
    -0.51
    numerusform
    -0.50
    POSITIVE LOGITS
    SourceChecksum
    0.63
     investment
    0.63
     investing
    0.60
     invester
    0.60
     investimentos
    0.58
     investments
    0.57
     Investments
    0.55
     invests
    0.54
     investors
    0.53
    Investment
    0.53
    Activations Density 0.494%

    No Known Activations