Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1705 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0237. Min Act: -0.0005

Data Index: 1427627 (Python Code)

Max Activating Token Index: 542

Text #1

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Max Act: 0.0228. Min Act: -0.0005

Data Index: 1434799 (Python Code)

Max Activating Token Index: 592

Text #2

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Max Act: 0.0214. Min Act: -0.0005

Data Index: 1554191 (Python Code)

Max Activating Token Index: 613

Text #3

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 1459117 (Python Code)

Max Activating Token Index: 304

Text #4

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Data Index: 1631023 (Python Code)

Max Activating Token Index: 56

Text #5

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Data Index: 1394075 (Python Code)

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Text #6

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Data Index: 1435464 (Python Code)

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Text #7

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Data Index: 1514084 (Python Code)

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Text #8

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Data Index: 1376008 (Python Code)

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Text #9

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Data Index: 1650138 (Python Code)

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Text #10

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Data Index: 1563463 (Python Code)

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Text #11

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Data Index: 1496740 (Python Code)

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Text #12

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Data Index: 1465524 (Python Code)

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Text #13

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Data Index: 1463335 (Python Code)

Max Activating Token Index: 241

Text #14

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Data Index: 1638659 (Python Code)

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Text #15

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Data Index: 1571965 (Python Code)

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Text #16

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Data Index: 1361040 (Python Code)

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Text #17

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Data Index: 1387410 (Python Code)

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Text #18

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Data Index: 1437634 (Python Code)

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Text #19

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Data Index: 1590983 (Python Code)

Max Activating Token Index: 765