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

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

Neuron 63 in Layer 0

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

Text #0

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Max Act: 0.0144. Min Act: -0.0005

Data Index: 1435422 (Python Code)

Max Activating Token Index: 769

Text #1

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Max Act: 0.0143. Min Act: -0.0005

Data Index: 1558036 (Python Code)

Max Activating Token Index: 625

Text #2

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Max Act: 0.0143. Min Act: -0.0005

Data Index: 1370733 (Python Code)

Max Activating Token Index: 78

Text #3

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Max Act: 0.0138. Min Act: -0.0005

Data Index: 1504596 (Python Code)

Max Activating Token Index: 382

Text #4

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Max Act: 0.0139. Min Act: -0.0005

Data Index: 1369105 (Python Code)

Max Activating Token Index: 524

Text #5

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Data Index: 1363248 (Python Code)

Max Activating Token Index: 889

Text #6

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Data Index: 1548805 (Python Code)

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Text #7

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Data Index: 1550148 (Python Code)

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Text #8

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Data Index: 1609157 (Python Code)

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Text #9

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Data Index: 1601596 (Python Code)

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Text #10

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Data Index: 1456417 (Python Code)

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Text #11

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Data Index: 1571779 (Python Code)

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Text #12

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Data Index: 1420304 (Python Code)

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Text #13

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Data Index: 1549945 (Python Code)

Max Activating Token Index: 110

Text #14

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Data Index: 1605009 (Python Code)

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Text #15

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Data Index: 1521848 (Python Code)

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Text #16

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Data Index: 1565419 (Python Code)

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Text #17

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Data Index: 1459663 (Python Code)

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Text #18

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Data Index: 1486734 (Python Code)

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Text #19

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Data Index: 1458836 (Python Code)

Max Activating Token Index: 607