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    a mix of French and English text related to questions and answers, likely in a learning or education context

    oai_token-act-pair · gemini-2.0-flash

    Parenthesis

    np_max-act-logits · gemini-2.0-flash

    (

    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
     fumée
    -0.52
     révé
    -0.50
     cuivre
    -0.49
     nourrir
    -0.49
    ughty
    -0.48
    sina
    -0.48
     réfrig
    -0.48
    atorship
    -0.47
     dépla
    -0.47
     devriez
    -0.47
    POSITIVE LOGITS
     Shakspeare
    0.58
    =$?
    0.56
     Phoen
    0.54
    !")
    0.53
     吗
    0.51
     Universitaria
    0.51
     Plen
    0.50
     Mercu
    0.50
    (:,:,
    0.49
     Thebes
    0.49
    Activations Density 17.004%

    No Known Activations