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    Explanations

    code-related terms such as "training" and "predict"

    oai_token-act-pair · gemini-2.0-flash

    machine learning classification

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_20/width_16k/average_l0_11
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.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
    RenderAtEndOf
    -0.54
     chave
    -0.49
    uld
    -0.48
     prêtres
    -0.48
     préf
    -0.47
    closePath
    -0.47
    EndInit
    -0.46
     empate
    -0.46
     KeyError
    -0.45
     astuces
    -0.45
    POSITIVE LOGITS
    发表于
    0.76
    原始内容存档于
    0.61
    TypedDataSet
    0.57
    ChromeDriver
    0.56
     testSet
    0.55
    DataPropertyName
    0.54
    RegistryLite
    0.54
     تضيفلها
    0.53
    kmale
    0.52
     فريبيس
    0.52
    Activations Density 7.249%

    No Known Activations