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

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

Neuron 2508 in Layer 2

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

Text #0

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Max Act: 0.0232. Min Act: -0.0003

Data Index: 667933 (C4 (Web Text))

Max Activating Token Index: 243

Text #1

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Max Activating Token Index: 669

Text #2

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 1131413 (C4 (Web Text))

Max Activating Token Index: 418

Text #3

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1116609 (C4 (Web Text))

Max Activating Token Index: 596

Text #4

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Max Act: 0.0233. Min Act: -0.0003

Data Index: 201091 (C4 (Web Text))

Max Activating Token Index: 949

Text #5

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 288219 (C4 (Web Text))

Max Activating Token Index: 873

Text #6

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Data Index: 501327 (C4 (Web Text))

Max Activating Token Index: 267

Text #7

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Max Activating Token Index: 638

Text #8

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Max Activating Token Index: 180

Text #9

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Max Activating Token Index: 1001

Text #10

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Data Index: 1339363 (C4 (Web Text))

Max Activating Token Index: 184

Text #11

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Data Index: 487861 (C4 (Web Text))

Max Activating Token Index: 336

Text #12

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Max Activating Token Index: 398

Text #13

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Data Index: 730905 (C4 (Web Text))

Max Activating Token Index: 134

Text #14

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Data Index: 505264 (C4 (Web Text))

Max Activating Token Index: 561

Text #15

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Text #16

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Text #17

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Data Index: 1030581 (C4 (Web Text))

Max Activating Token Index: 433

Text #18

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Data Index: 1490698 (Python Code)

Max Activating Token Index: 484

Text #19

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 188706 (C4 (Web Text))

Max Activating Token Index: 121