Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3748 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1522102 (Python Code)

Max Activating Token Index: 1016

Text #1

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Max Act: 0.0225. Min Act: -0.0002

Data Index: 711332 (C4 (Web Text))

Max Activating Token Index: 190

Text #2

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Max Act: 0.0230. Min Act: -0.0002

Data Index: 1470368 (Python Code)

Max Activating Token Index: 905

Text #3

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Max Act: 0.0229. Min Act: -0.0003

Data Index: 1064521 (C4 (Web Text))

Max Activating Token Index: 157

Text #4

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Max Act: 0.0217. Min Act: -0.0003

Data Index: 1629070 (Python Code)

Max Activating Token Index: 52

Text #5

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Max Act: 0.0221. Min Act: -0.0003

Data Index: 1020677 (C4 (Web Text))

Max Activating Token Index: 416

Text #6

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Data Index: 1624346 (Python Code)

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Text #7

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Data Index: 754848 (C4 (Web Text))

Max Activating Token Index: 242

Text #8

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Data Index: 1484778 (Python Code)

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Text #9

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Data Index: 933396 (C4 (Web Text))

Max Activating Token Index: 271

Text #10

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Max Activating Token Index: 534

Text #11

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Max Activating Token Index: 286

Text #12

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Data Index: 1557791 (Python Code)

Max Activating Token Index: 193

Text #13

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Data Index: 1577698 (Python Code)

Max Activating Token Index: 656

Text #14

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Data Index: 1501266 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1634433 (Python Code)

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Text #18

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Data Index: 229606 (C4 (Web Text))

Max Activating Token Index: 316

Text #19

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 1615523 (Python Code)

Max Activating Token Index: 47