Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3900 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0182. Min Act: -0.0002

Data Index: 1618642 (Python Code)

Max Activating Token Index: 3

Text #1

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 1481885 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1645545 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1509927 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1601920 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1455597 (Python Code)

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Text #6

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Data Index: 1444002 (Python Code)

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Text #7

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Data Index: 1501517 (Python Code)

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Text #8

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Data Index: 1454332 (Python Code)

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Text #9

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Data Index: 1530933 (Python Code)

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Text #10

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Data Index: 1391994 (Python Code)

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Text #11

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Data Index: 1386390 (Python Code)

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Text #12

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Data Index: 1372429 (Python Code)

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Text #13

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Data Index: 1509866 (Python Code)

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Text #14

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Data Index: 1459224 (Python Code)

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Text #15

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Data Index: 1534671 (Python Code)

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Text #16

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Data Index: 1527926 (Python Code)

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Text #17

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Data Index: 1394670 (Python Code)

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Text #18

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Data Index: 1397365 (Python Code)

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Text #19

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Data Index: 1590472 (Python Code)

Max Activating Token Index: 3