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    what looks like OCR misreadings of the word "for" or "fur"

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_2/width_16k/average_l0_49
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.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
     MainAxisSize
    -0.68
    écnicas
    -0.68
    featureID
    -0.68
    fromnode
    -0.65
    TProtocol
    -0.65
    //});
    -0.63
    Cordialement
    -0.63
     myſelf
    -0.63
     iſt
    -0.62
    Литература
    -0.62
    POSITIVE LOGITS
     for
    1.89
    for
    1.73
     For
    1.51
     FOR
    1.48
    For
    1.47
     для
    1.40
     für
    1.34
     voor
    1.32
    FOR
    1.26
    для
    1.21
    Activations Density 0.126%

    No Known Activations