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    Explanations

    places, especially related to commerce like parking lots and stores, but also schools, courts and centers

    oai_token-act-pair · gemini-2.0-flash

    Parking lots

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
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    Negative Logits
    windowFixed
    -0.85
    ValueStyle
    -0.85
     виправивши
    -0.83
     snippetHide
    -0.74
     mourut
    -0.72
     дописавши
    -0.71
     onCancelled
    -0.68
    ✨:
    -0.67
     dicendo
    -0.67
     poffe
    -0.66
    POSITIVE LOGITS
     be
    1.30
     take
    1.18
     make
    1.08
     apply
    1.05
     keep
    1.02
     give
    1.01
     generate
    1.00
     meet
    0.99
     create
    0.98
     provide
    0.98
    Activations Density 14.428%

    No Known Activations