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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
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    This neuron seems to be detecting text from legal briefs, focusing on elements of legal reasoning, citation, and judgement related to legal process.

    oai_token-act-pair · gemini-2.0-flash

    defense

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
     worker
    -0.63
     workers
    -0.58
    worker
    -0.57
    Workers
    -0.56
    Worker
    -0.52
    mers
    -0.51
     Worker
    -0.50
    workers
    -0.50
     Workers
    -0.49
    고
    -0.47
    POSITIVE LOGITS
     defense
    0.95
     defence
    0.82
     Defense
    0.77
    defense
    0.77
    ImageContext
    0.75
     DEFENSE
    0.74
     defaultstate
    0.74
    Defense
    0.70
     بيها
    0.68
     Abp
    0.68
    Activations Density 7.329%

    No Known Activations