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

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

Neuron 1365 in Layer 1

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

Text #0

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Max Act: 0.0185. Min Act: -0.0006

Data Index: 1587399 (Python Code)

Max Activating Token Index: 542

Text #1

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Max Act: 0.0169. Min Act: -0.0006

Data Index: 1409677 (Python Code)

Max Activating Token Index: 359

Text #2

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 1634692 (Python Code)

Max Activating Token Index: 953

Text #3

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Max Act: 0.0169. Min Act: -0.0005

Data Index: 1639097 (Python Code)

Max Activating Token Index: 287

Text #4

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Max Act: 0.0169. Min Act: -0.0006

Data Index: 1550920 (Python Code)

Max Activating Token Index: 703

Text #5

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 1419654 (Python Code)

Max Activating Token Index: 681

Text #6

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Data Index: 1518019 (Python Code)

Max Activating Token Index: 455

Text #7

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Data Index: 1509844 (Python Code)

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Text #8

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Data Index: 1641545 (Python Code)

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Text #9

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Max Act: 0.0163. Min Act: -0.0006

Data Index: 1474593 (Python Code)

Max Activating Token Index: 557

Text #10

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Data Index: 1624391 (Python Code)

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Text #11

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Data Index: 1541374 (Python Code)

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Text #12

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Data Index: 1549952 (Python Code)

Max Activating Token Index: 720

Text #13

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Data Index: 1548642 (Python Code)

Max Activating Token Index: 849

Text #14

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Data Index: 1531306 (Python Code)

Max Activating Token Index: 980

Text #15

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Data Index: 1550402 (Python Code)

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Text #16

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Data Index: 1452027 (Python Code)

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Text #17

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Data Index: 1635410 (Python Code)

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Text #18

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Data Index: 1620938 (Python Code)

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Text #19

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 1592882 (Python Code)

Max Activating Token Index: 478