Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 17 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0469. Min Act: -0.0003

Data Index: 1607880 (Python Code)

Max Activating Token Index: 151

Text #1

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 1650441 (Python Code)

Max Activating Token Index: 61

Text #2

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 1240221 (C4 (Web Text))

Max Activating Token Index: 515

Text #3

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 331633 (C4 (Web Text))

Max Activating Token Index: 947

Text #4

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Max Act: 0.0374. Min Act: -0.0004

Data Index: 946970 (C4 (Web Text))

Max Activating Token Index: 853

Text #5

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 809846 (C4 (Web Text))

Max Activating Token Index: 529

Text #6

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Max Activating Token Index: 864

Text #7

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Data Index: 1251864 (C4 (Web Text))

Max Activating Token Index: 413

Text #8

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Data Index: 144013 (C4 (Web Text))

Max Activating Token Index: 665

Text #9

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Max Activating Token Index: 166

Text #10

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Max Activating Token Index: 656

Text #11

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Max Activating Token Index: 251

Text #12

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Max Activating Token Index: 899

Text #13

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Data Index: 1587008 (Python Code)

Max Activating Token Index: 196

Text #14

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Max Activating Token Index: 90

Text #15

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Text #16

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Text #17

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Data Index: 457105 (C4 (Web Text))

Max Activating Token Index: 593

Text #18

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Data Index: 66438 (C4 (Web Text))

Max Activating Token Index: 89

Text #19

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Max Act: 0.0339. Min Act: -0.0003

Data Index: 641921 (C4 (Web Text))

Max Activating Token Index: 332