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

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

Neuron 101 in Layer 0

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

Text #0

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Max Act: 0.0176. Min Act: -0.0006

Data Index: 1551766 (Python Code)

Max Activating Token Index: 586

Text #1

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1631178 (Python Code)

Max Activating Token Index: 864

Text #2

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Max Act: 0.0171. Min Act: -0.0005

Data Index: 1593215 (Python Code)

Max Activating Token Index: 219

Text #3

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 1489316 (Python Code)

Max Activating Token Index: 92

Text #4

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Max Act: 0.0161. Min Act: -0.0006

Data Index: 1620251 (Python Code)

Max Activating Token Index: 960

Text #5

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Data Index: 1528832 (Python Code)

Max Activating Token Index: 20

Text #6

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Data Index: 1530262 (Python Code)

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Text #7

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Data Index: 1567272 (Python Code)

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Text #8

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Data Index: 1366664 (Python Code)

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Text #9

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Data Index: 1652766 (Python Code)

Max Activating Token Index: 13

Text #10

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Data Index: 1504509 (Python Code)

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Text #11

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Data Index: 1632999 (Python Code)

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Text #12

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Data Index: 1544589 (Python Code)

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Text #13

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Data Index: 1651823 (Python Code)

Max Activating Token Index: 193

Text #14

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Data Index: 1386591 (Python Code)

Max Activating Token Index: 244

Text #15

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Data Index: 1503683 (Python Code)

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Text #16

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Data Index: 1655048 (Python Code)

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Text #17

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Data Index: 1626856 (Python Code)

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Text #18

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Data Index: 1487329 (Python Code)

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Text #19

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Max Act: 0.0151. Min Act: -0.0005

Data Index: 1625924 (Python Code)

Max Activating Token Index: 199