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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the topic of learning from mistakes and improvement through education

    oai_token-act-pair · gemini-2.0-flash

    learning

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
     learning
    -2.92
     learn
    -2.78
     Learning
    -2.66
     learns
    -2.56
    learning
    -2.55
     learned
    -2.52
    Learning
    -2.52
    learn
    -2.50
     Learn
    -2.42
     LEARNING
    -2.33
    POSITIVE LOGITS
    AddTagHelper
    0.72
    Controllo
    0.69
    脚注の使い方
    0.68
     \%$\\
    0.66
     Normdatei
    0.65
    ]")]
    0.64
    >--}}
    0.63
     resourceCulture
    0.63
    Obrázky
    0.62
     '\\;'
    0.61
    Activations Density 0.773%

    No Known Activations