Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 3019 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 2.0936. Min Act: -0.0000

Data Index: 1532807 (Python Code)

Max Activating Token Index: 772

Text #1

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Max Act: 1.7078. Min Act: -0.0000

Data Index: 1638881 (Python Code)

Max Activating Token Index: 661

Text #2

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Data Index: 1435280 (Python Code)

Max Activating Token Index: 868

Text #3

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Max Act: 1.9110. Min Act: -0.0000

Data Index: 1442644 (Python Code)

Max Activating Token Index: 655

Text #4

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Max Act: 1.8233. Min Act: -0.0000

Data Index: 145343 (C4 (Web Text))

Max Activating Token Index: 896

Text #5

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Max Act: 1.7233. Min Act: -0.0000

Data Index: 1488927 (Python Code)

Max Activating Token Index: 489

Text #6

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Data Index: 1394082 (Python Code)

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Text #7

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Data Index: 1566004 (Python Code)

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Text #8

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Data Index: 1555007 (Python Code)

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Text #9

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Data Index: 1221319 (C4 (Web Text))

Max Activating Token Index: 613

Text #10

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Data Index: 1449631 (Python Code)

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Text #11

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Data Index: 1409033 (Python Code)

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Text #12

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Data Index: 1539691 (Python Code)

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Text #13

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Data Index: 1460464 (Python Code)

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Text #14

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Data Index: 1615870 (Python Code)

Max Activating Token Index: 553

Text #15

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Data Index: 1498150 (Python Code)

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Text #16

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Data Index: 640756 (C4 (Web Text))

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Text #17

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Data Index: 1435402 (Python Code)

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Text #18

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Data Index: 1168468 (C4 (Web Text))

Max Activating Token Index: 908

Text #19

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Data Index: 527973 (C4 (Web Text))

Max Activating Token Index: 468