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

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

Neuron 1145 in Layer 0

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

Text #0

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Max Act: 0.0224. Min Act: -0.0004

Data Index: 1481840 (Python Code)

Max Activating Token Index: 743

Text #1

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Max Act: 0.0207. Min Act: -0.0004

Data Index: 1365930 (Python Code)

Max Activating Token Index: 506

Text #2

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Max Act: 0.0205. Min Act: -0.0004

Data Index: 1460095 (Python Code)

Max Activating Token Index: 645

Text #3

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 1393920 (Python Code)

Max Activating Token Index: 601

Text #4

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Max Act: 0.0199. Min Act: -0.0004

Data Index: 1591633 (Python Code)

Max Activating Token Index: 256

Text #5

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Max Act: 0.0193. Min Act: -0.0004

Data Index: 1443625 (Python Code)

Max Activating Token Index: 131

Text #6

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Data Index: 1556352 (Python Code)

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Text #7

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Data Index: 1486495 (Python Code)

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Text #8

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Data Index: 1565300 (Python Code)

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Text #9

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Data Index: 1421447 (Python Code)

Max Activating Token Index: 91

Text #10

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Data Index: 1425058 (Python Code)

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Text #11

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Data Index: 1430309 (Python Code)

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Text #12

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Data Index: 1602829 (Python Code)

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Text #13

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Data Index: 1462067 (Python Code)

Max Activating Token Index: 823

Text #14

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Data Index: 1575256 (Python Code)

Max Activating Token Index: 307

Text #15

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Data Index: 1569476 (Python Code)

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Text #16

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Data Index: 1367017 (Python Code)

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Text #17

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Data Index: 1556654 (Python Code)

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Text #18

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Data Index: 1399506 (Python Code)

Max Activating Token Index: 418

Text #19

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 1416391 (Python Code)

Max Activating Token Index: 540