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    5. 7-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words having to do with research or scientific language and topics of crime, arrest, or similar wrongdoings.

    oai_token-act-pair · gemini-2.0-flash

    victims and casualties

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_7/width_16k/average_l0_70
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.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
    mo
    -0.46
     dedicato
    -0.44
    zenz
    -0.43
    δί
    -0.43
    optimal
    -0.42
    تف
    -0.41
    toupper
    -0.41
    屈
    -0.40
     protest
    -0.40
     scoperto
    -0.40
    POSITIVE LOGITS
    StoryboardSegue
    0.70
     @"/
    0.61
     actionPerformed
    0.60
    jspb
    0.59
    RegressionTest
    0.58
    ExecuteReader
    0.58
    #+#
    0.57
     obno
    0.56
    cemia
    0.56
    migrationBuilder
    0.56
    Activations Density 13.977%

    No Known Activations