Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 232 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0322. Min Act: -0.0005

Data Index: 289451 (C4 (Web Text))

Max Activating Token Index: 779

Text #1

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Data Index: 327953 (C4 (Web Text))

Max Activating Token Index: 514

Text #2

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Max Act: 0.0222. Min Act: -0.0005

Data Index: 759489 (C4 (Web Text))

Max Activating Token Index: 560

Text #3

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Max Act: 0.0220. Min Act: -0.0005

Data Index: 193502 (C4 (Web Text))

Max Activating Token Index: 660

Text #4

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Data Index: 909705 (C4 (Web Text))

Max Activating Token Index: 112

Text #5

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Data Index: 469980 (C4 (Web Text))

Max Activating Token Index: 90

Text #6

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Max Activating Token Index: 947

Text #7

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Text #8

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Max Activating Token Index: 258

Text #9

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Data Index: 651832 (C4 (Web Text))

Max Activating Token Index: 66

Text #10

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Data Index: 463493 (C4 (Web Text))

Max Activating Token Index: 560

Text #11

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Data Index: 12645 (C4 (Web Text))

Max Activating Token Index: 533

Text #12

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Data Index: 31917 (C4 (Web Text))

Max Activating Token Index: 451

Text #13

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Data Index: 1269691 (C4 (Web Text))

Max Activating Token Index: 91

Text #14

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Data Index: 456431 (C4 (Web Text))

Max Activating Token Index: 154

Text #15

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Max Activating Token Index: 351

Text #16

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Max Activating Token Index: 500

Text #17

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Max Activating Token Index: 224

Text #18

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Data Index: 565389 (C4 (Web Text))

Max Activating Token Index: 53

Text #19

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Data Index: 961649 (C4 (Web Text))

Max Activating Token Index: 1022