Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1619 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0174. Min Act: 0.0001

Data Index: 53532 (C4 (Web Text))

Max Activating Token Index: 242

Text #1

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 947685 (C4 (Web Text))

Max Activating Token Index: 975

Text #2

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 530079 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.0166. Min Act: 0.0001

Data Index: 654783 (C4 (Web Text))

Max Activating Token Index: 72

Text #4

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Max Act: 0.0164. Min Act: -0.0000

Data Index: 944376 (C4 (Web Text))

Max Activating Token Index: 336

Text #5

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Data Index: 816745 (C4 (Web Text))

Max Activating Token Index: 57

Text #6

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Data Index: 1205864 (C4 (Web Text))

Max Activating Token Index: 625

Text #7

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Max Activating Token Index: 800

Text #8

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Data Index: 446841 (C4 (Web Text))

Max Activating Token Index: 75

Text #9

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Data Index: 535220 (C4 (Web Text))

Max Activating Token Index: 454

Text #10

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Max Activating Token Index: 998

Text #11

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Max Activating Token Index: 709

Text #12

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Data Index: 763241 (C4 (Web Text))

Max Activating Token Index: 493

Text #13

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Data Index: 602759 (C4 (Web Text))

Max Activating Token Index: 322

Text #14

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Max Activating Token Index: 393

Text #15

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Max Activating Token Index: 672

Text #16

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Max Activating Token Index: 170

Text #17

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Max Activating Token Index: 669

Text #18

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Max Activating Token Index: 691

Text #19

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Max Act: 0.0147. Min Act: -0.0002

Data Index: 434841 (C4 (Web Text))

Max Activating Token Index: 467