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

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

Neuron 1001 in Layer 0

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

Text #0

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Max Act: 0.0275. Min Act: -0.0002

Data Index: 164823 (C4 (Web Text))

Max Activating Token Index: 411

Text #1

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Max Act: 0.0271. Min Act: -0.0002

Data Index: 447142 (C4 (Web Text))

Max Activating Token Index: 698

Text #2

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Max Act: 0.0254. Min Act: -0.0002

Data Index: 898337 (C4 (Web Text))

Max Activating Token Index: 300

Text #3

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Max Act: 0.0254. Min Act: -0.0002

Data Index: 42591 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 1258810 (C4 (Web Text))

Max Activating Token Index: 295

Text #5

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 1270728 (C4 (Web Text))

Max Activating Token Index: 185

Text #6

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Data Index: 684465 (C4 (Web Text))

Max Activating Token Index: 550

Text #7

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Data Index: 1349259 (C4 (Web Text))

Max Activating Token Index: 324

Text #8

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Max Activating Token Index: 731

Text #9

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Data Index: 255844 (C4 (Web Text))

Max Activating Token Index: 883

Text #10

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Max Activating Token Index: 967

Text #11

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Data Index: 197444 (C4 (Web Text))

Max Activating Token Index: 986

Text #12

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Data Index: 1132951 (C4 (Web Text))

Max Activating Token Index: 340

Text #13

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Data Index: 558790 (C4 (Web Text))

Max Activating Token Index: 608

Text #14

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Data Index: 231771 (C4 (Web Text))

Max Activating Token Index: 903

Text #15

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Data Index: 603732 (C4 (Web Text))

Max Activating Token Index: 460

Text #16

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Max Activating Token Index: 384

Text #17

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Max Activating Token Index: 322

Text #18

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Max Activating Token Index: 986

Text #19

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Data Index: 1060811 (C4 (Web Text))

Max Activating Token Index: 415