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    5. 19-GEMMASCOPE-TRANSCODER-16K
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    code snippets related to loading and using machine learning models

    oai_token-act-pair · gemini-2.0-flash

    Machine learning code/text

    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
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    No Comments

    Negative Logits
     training
    -1.14
     trained
    -1.09
    Training
    -1.03
     Training
    -1.02
     TRAINING
    -0.98
     Trained
    -0.93
    trained
    -0.93
    training
    -0.92
     train
    -0.88
    Train
    -0.86
    POSITIVE LOGITS
    ✭✭
    0.56
    Ecotoxicity
    0.55
     horned
    0.50
    ("$.
    0.47
    DebuggerNonUser
    0.46
    tổng
    0.46
    panto
    0.45
    ủ
    0.45
    יצד
    0.45
    flikt
    0.45
    Activations Density 0.125%

    No Known Activations