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

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

Neuron 1343 in Layer 0

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

Text #0

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Max Act: 0.0199. Min Act: -0.0004

Data Index: 1089943 (C4 (Web Text))

Max Activating Token Index: 107

Text #1

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Max Act: 0.0206. Min Act: -0.0004

Data Index: 928200 (C4 (Web Text))

Max Activating Token Index: 238

Text #2

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Max Act: 0.0193. Min Act: -0.0004

Data Index: 1232889 (C4 (Web Text))

Max Activating Token Index: 327

Text #3

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Max Act: 0.0197. Min Act: -0.0004

Data Index: 734670 (C4 (Web Text))

Max Activating Token Index: 245

Text #4

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 255360 (C4 (Web Text))

Max Activating Token Index: 388

Text #5

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Max Act: 0.0183. Min Act: -0.0004

Data Index: 38776 (C4 (Web Text))

Max Activating Token Index: 94

Text #6

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Data Index: 716924 (C4 (Web Text))

Max Activating Token Index: 169

Text #7

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Max Activating Token Index: 400

Text #8

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Data Index: 622753 (C4 (Web Text))

Max Activating Token Index: 248

Text #9

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Data Index: 994481 (C4 (Web Text))

Max Activating Token Index: 110

Text #10

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Data Index: 885476 (C4 (Web Text))

Max Activating Token Index: 437

Text #11

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Max Activating Token Index: 770

Text #12

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Data Index: 660522 (C4 (Web Text))

Max Activating Token Index: 146

Text #13

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Data Index: 496784 (C4 (Web Text))

Max Activating Token Index: 460

Text #14

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Data Index: 670684 (C4 (Web Text))

Max Activating Token Index: 538

Text #15

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Data Index: 32873 (C4 (Web Text))

Max Activating Token Index: 175

Text #16

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Max Activating Token Index: 262

Text #17

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Max Activating Token Index: 92

Text #18

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Data Index: 712421 (C4 (Web Text))

Max Activating Token Index: 43

Text #19

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Data Index: 868808 (C4 (Web Text))

Max Activating Token Index: 170