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

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

Neuron 234 in Layer 1

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

Text #0

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Max Act: 0.0227. Min Act: -0.0005

Data Index: 1500068 (Python Code)

Max Activating Token Index: 593

Text #1

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Max Act: 0.0199. Min Act: -0.0005

Data Index: 1458487 (Python Code)

Max Activating Token Index: 509

Text #2

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Max Act: 0.0197. Min Act: -0.0006

Data Index: 1587913 (Python Code)

Max Activating Token Index: 656

Text #3

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 1445281 (Python Code)

Max Activating Token Index: 543

Text #4

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 1564693 (Python Code)

Max Activating Token Index: 728

Text #5

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Data Index: 1518908 (Python Code)

Max Activating Token Index: 606

Text #6

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Data Index: 1510265 (Python Code)

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Text #7

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Data Index: 1429577 (Python Code)

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Text #8

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Data Index: 1487418 (Python Code)

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Text #9

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Data Index: 1488419 (Python Code)

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Text #10

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Data Index: 1360517 (Python Code)

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Text #11

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Data Index: 1583215 (Python Code)

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Text #12

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Data Index: 1466833 (Python Code)

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Text #13

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Data Index: 1372284 (Python Code)

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Text #14

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Data Index: 1506256 (Python Code)

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Text #15

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Data Index: 1612895 (Python Code)

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Text #16

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Data Index: 1579372 (Python Code)

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Text #17

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Data Index: 1542061 (Python Code)

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Text #18

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Data Index: 1589083 (Python Code)

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Text #19

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1647274 (Python Code)

Max Activating Token Index: 582