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    5. 0-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    the word "harm" and words with negative connotations like "damaging"

    oai_token-act-pair · gemini-2.0-flash

    harm

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Negative Logits
    usermodel
    -0.85
    ⓧ
    -0.83
     smtplib
    -0.82
    VersionUID
    -0.78
    cadilly
    -0.77
     ſtate
    -0.76
    glMatrixMode
    -0.75
     Thebes
    -0.74
     Majefty
    -0.73
     Tind
    -0.73
    POSITIVE LOGITS
     the
    0.70
     which
    0.65
    s
    0.64
     being
    0.63
    SerializedSize
    0.62
     
    0.57
    <strong>
    0.56
     this
    0.54
    featureID
    0.52
     how
    0.52
    Activations Density 0.826%

    No Known Activations