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

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

Neuron 2799 in Layer 0

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

Text #0

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 1629807 (Python Code)

Max Activating Token Index: 678

Text #1

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1468119 (Python Code)

Max Activating Token Index: 85

Text #2

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1447489 (Python Code)

Max Activating Token Index: 90

Text #3

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1366061 (Python Code)

Max Activating Token Index: 350

Text #4

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Max Act: 0.0166. Min Act: -0.0002

Data Index: 1645663 (Python Code)

Max Activating Token Index: 180

Text #5

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1531033 (Python Code)

Max Activating Token Index: 742

Text #6

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Data Index: 1645909 (Python Code)

Max Activating Token Index: 243

Text #7

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Data Index: 1545031 (Python Code)

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Text #8

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Data Index: 1389136 (Python Code)

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Text #9

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Data Index: 1567957 (Python Code)

Max Activating Token Index: 109

Text #10

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Data Index: 1565841 (Python Code)

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Text #11

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Data Index: 1430813 (Python Code)

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Text #12

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Data Index: 1644682 (Python Code)

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Text #13

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Data Index: 1589702 (Python Code)

Max Activating Token Index: 370

Text #14

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Data Index: 1371827 (Python Code)

Max Activating Token Index: 80

Text #15

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Data Index: 1535824 (Python Code)

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Text #16

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Data Index: 1430153 (Python Code)

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Text #17

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Data Index: 1472507 (Python Code)

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Text #18

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Data Index: 1565411 (Python Code)

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Text #19

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Data Index: 1474325 (Python Code)

Max Activating Token Index: 836