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    references to wet or moist objects

    oai_token-act-pair · gpt-4.1-nano
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    chanind/gemma-2-2b-batch-topk-matryoshka-saes-w-32k-l0-40/standard
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    SPJ
    -0.74
     springfox
    -0.71
    Hentet
    -0.71
    ạch
    -0.67
    المراجع
    -0.65
    مراجع
    -0.65
    WebServlet
    -0.64
    insertBefore
    -0.64
    bootstrapcdn
    -0.62
     dévelo
    -0.61
    POSITIVE LOGITS
     wet
    4.06
     Wet
    3.63
    Wet
    3.53
    wet
    3.52
     WET
    3.00
    WET
    2.66
     wetter
    2.34
     moist
    2.23
     wetting
    2.20
     damp
    2.00
    Activations Density 0.015%

    No Known Activations