Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2033 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0287. Min Act: -0.0002

Data Index: 1375261 (Python Code)

Max Activating Token Index: 13

Text #1

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1396215 (Python Code)

Max Activating Token Index: 27

Text #2

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Max Act: 0.0244. Min Act: -0.0002

Data Index: 1501573 (Python Code)

Max Activating Token Index: 8

Text #3

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 1566665 (Python Code)

Max Activating Token Index: 19

Text #4

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Max Act: 0.0224. Min Act: -0.0002

Data Index: 1632138 (Python Code)

Max Activating Token Index: 20

Text #5

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Max Act: 0.0234. Min Act: -0.0002

Data Index: 1488907 (Python Code)

Max Activating Token Index: 13

Text #6

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Data Index: 1408964 (Python Code)

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Text #7

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Data Index: 1619766 (Python Code)

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Text #8

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Data Index: 1533866 (Python Code)

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Text #9

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Data Index: 1475630 (Python Code)

Max Activating Token Index: 19

Text #10

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Data Index: 1411130 (Python Code)

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Text #11

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Data Index: 1605941 (Python Code)

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Text #12

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Data Index: 1534854 (Python Code)

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Text #13

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Data Index: 1576674 (Python Code)

Max Activating Token Index: 14

Text #14

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Data Index: 1577745 (Python Code)

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Text #15

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Data Index: 1493114 (Python Code)

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Text #16

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Data Index: 1497940 (Python Code)

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Text #17

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Data Index: 1458432 (Python Code)

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Text #18

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Data Index: 1517641 (Python Code)

Max Activating Token Index: 13

Text #19

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Max Act: 0.0202. Min Act: -0.0002

Data Index: 1368852 (Python Code)

Max Activating Token Index: 18