Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 887 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 1614952 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0158. Min Act: -0.0005

Data Index: 1617729 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0153. Min Act: -0.0005

Data Index: 1439322 (Python Code)

Max Activating Token Index: 134

Text #3

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 1593265 (Python Code)

Max Activating Token Index: 504

Text #4

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Max Act: 0.0141. Min Act: -0.0005

Data Index: 1513718 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0145. Min Act: -0.0005

Data Index: 1591833 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1597976 (Python Code)

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Text #7

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Data Index: 1551290 (Python Code)

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Text #8

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Data Index: 1531082 (Python Code)

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Text #9

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Data Index: 1484487 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1518872 (Python Code)

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Text #11

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Data Index: 1386097 (Python Code)

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Text #12

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Data Index: 1482679 (Python Code)

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Text #13

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Data Index: 1524622 (Python Code)

Max Activating Token Index: 779

Text #14

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Data Index: 1597365 (Python Code)

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Text #15

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Data Index: 1413563 (Python Code)

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Text #16

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Data Index: 1648439 (Python Code)

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Text #17

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Data Index: 1444111 (Python Code)

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Text #18

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Data Index: 1628220 (Python Code)

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Text #19

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Data Index: 1525757 (Python Code)

Max Activating Token Index: 1023