Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 156 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 1428014 (Python Code)

Max Activating Token Index: 512

Text #1

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Max Act: 0.0295. Min Act: -0.0004

Data Index: 1550634 (Python Code)

Max Activating Token Index: 685

Text #2

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 1550179 (Python Code)

Max Activating Token Index: 238

Text #3

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Max Act: 0.0285. Min Act: -0.0003

Data Index: 1629853 (Python Code)

Max Activating Token Index: 161

Text #4

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1547449 (Python Code)

Max Activating Token Index: 105

Text #5

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Max Act: 0.0271. Min Act: -0.0004

Data Index: 1548184 (Python Code)

Max Activating Token Index: 166

Text #6

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Max Act: 0.0270. Min Act: -0.0003

Data Index: 1587593 (Python Code)

Max Activating Token Index: 250

Text #7

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Data Index: 1474106 (Python Code)

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Text #8

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Data Index: 1521335 (Python Code)

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Text #9

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Max Act: 0.0264. Min Act: -0.0003

Data Index: 1500934 (Python Code)

Max Activating Token Index: 192

Text #10

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Data Index: 1611764 (Python Code)

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Text #11

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Data Index: 1649758 (Python Code)

Max Activating Token Index: 432

Text #12

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Data Index: 1628254 (Python Code)

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Text #13

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Data Index: 1365943 (Python Code)

Max Activating Token Index: 309

Text #14

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Data Index: 1529178 (Python Code)

Max Activating Token Index: 420

Text #15

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Data Index: 1517487 (Python Code)

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Text #16

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Data Index: 1505491 (Python Code)

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Text #17

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Data Index: 1437558 (Python Code)

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Text #18

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Data Index: 1576844 (Python Code)

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Text #19

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Max Act: 0.0250. Min Act: -0.0003

Data Index: 1606106 (Python Code)

Max Activating Token Index: 192