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

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

Neuron 145 in Layer 0

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

Text #0

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Max Act: 0.0189. Min Act: -0.0002

Data Index: 1461488 (Python Code)

Max Activating Token Index: 873

Text #1

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Max Act: 0.0185. Min Act: -0.0002

Data Index: 1473925 (Python Code)

Max Activating Token Index: 958

Text #2

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 1617678 (Python Code)

Max Activating Token Index: 153

Text #3

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 1369583 (Python Code)

Max Activating Token Index: 858

Text #4

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1355544 (C4 (Web Text))

Max Activating Token Index: 485

Text #5

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 656262 (C4 (Web Text))

Max Activating Token Index: 40

Text #6

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Data Index: 1628329 (Python Code)

Max Activating Token Index: 680

Text #7

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Data Index: 1189762 (C4 (Web Text))

Max Activating Token Index: 80

Text #8

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Max Activating Token Index: 782

Text #9

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Data Index: 1291179 (C4 (Web Text))

Max Activating Token Index: 20

Text #10

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Data Index: 621525 (C4 (Web Text))

Max Activating Token Index: 72

Text #11

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Max Activating Token Index: 347

Text #12

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Data Index: 132223 (C4 (Web Text))

Max Activating Token Index: 239

Text #13

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Data Index: 1133372 (C4 (Web Text))

Max Activating Token Index: 444

Text #14

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Max Activating Token Index: 864

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 557

Text #18

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Max Activating Token Index: 634

Text #19

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Max Act: 0.0134. Min Act: -0.0003

Data Index: 527389 (C4 (Web Text))

Max Activating Token Index: 252