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

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

Neuron 1732 in Layer 0

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

Text #0

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Max Act: 0.0148. Min Act: -0.0005

Data Index: 1422633 (Python Code)

Max Activating Token Index: 376

Text #1

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Max Act: 0.0146. Min Act: -0.0006

Data Index: 1073038 (C4 (Web Text))

Max Activating Token Index: 425

Text #2

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Max Act: 0.0144. Min Act: -0.0005

Data Index: 1530707 (Python Code)

Max Activating Token Index: 789

Text #3

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Max Act: 0.0142. Min Act: -0.0006

Data Index: 493390 (C4 (Web Text))

Max Activating Token Index: 169

Text #4

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Max Act: 0.0141. Min Act: -0.0005

Data Index: 1515542 (Python Code)

Max Activating Token Index: 197

Text #5

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1493803 (Python Code)

Max Activating Token Index: 520

Text #6

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Data Index: 1556609 (Python Code)

Max Activating Token Index: 308

Text #7

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Data Index: 1439130 (Python Code)

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Text #8

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Data Index: 1501668 (Python Code)

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Text #9

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Data Index: 1397170 (Python Code)

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Text #10

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Data Index: 1399338 (Python Code)

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Text #11

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Data Index: 1467839 (Python Code)

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Text #12

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Data Index: 1623431 (Python Code)

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Text #13

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Data Index: 1603116 (Python Code)

Max Activating Token Index: 999

Text #14

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Data Index: 1476349 (Python Code)

Max Activating Token Index: 637

Text #15

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Data Index: 1362861 (Python Code)

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Text #16

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Data Index: 1405366 (Python Code)

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Text #17

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Data Index: 1457173 (Python Code)

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Text #18

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Data Index: 1640418 (Python Code)

Max Activating Token Index: 610

Text #19

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1521252 (Python Code)

Max Activating Token Index: 785