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    Explanations

    instances of law enforcement, official publications like patents, and the phrase "New York City"

    oai_token-act-pair · gemini-2.0-flash

    enforcement

    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
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    Negative Logits
     ſche
    -1.13
     myſelf
    -1.11
     purpoſe
    -1.08
     houſe
    -1.05
     Efq
    -1.05
     anhänger
    -1.05
     pleaſure
    -1.01
     raiſ
    -1.01
     fubject
    -1.01
     auffi
    -0.99
    POSITIVE LOGITS
     the
    0.82
     R
    0.67
     (
    0.66
    …
    0.64
      
    0.63
     and
    0.63
     a
    0.61
     […]
    0.60
     …
    0.60
     he
    0.59
    Activations Density 0.311%

    No Known Activations