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

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

Neuron 4896 in Layer 1

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

Text #0

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Max Act: 0.0353. Min Act: -0.0002

Data Index: 246931 (C4 (Web Text))

Max Activating Token Index: 188

Text #1

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 839485 (C4 (Web Text))

Max Activating Token Index: 210

Text #2

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 871920 (C4 (Web Text))

Max Activating Token Index: 234

Text #3

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 647894 (C4 (Web Text))

Max Activating Token Index: 382

Text #4

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 916578 (C4 (Web Text))

Max Activating Token Index: 518

Text #5

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Data Index: 983593 (C4 (Web Text))

Max Activating Token Index: 905

Text #6

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Max Activating Token Index: 640

Text #7

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Max Activating Token Index: 302

Text #8

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Data Index: 127497 (C4 (Web Text))

Max Activating Token Index: 120

Text #9

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Data Index: 73239 (C4 (Web Text))

Max Activating Token Index: 184

Text #10

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Max Activating Token Index: 866

Text #11

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Data Index: 66540 (C4 (Web Text))

Max Activating Token Index: 244

Text #12

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Data Index: 1331282 (C4 (Web Text))

Max Activating Token Index: 128

Text #13

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Data Index: 1196061 (C4 (Web Text))

Max Activating Token Index: 25

Text #14

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Data Index: 194196 (C4 (Web Text))

Max Activating Token Index: 73

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 96

Text #18

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Max Activating Token Index: 455

Text #19

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Data Index: 841029 (C4 (Web Text))

Max Activating Token Index: 352