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

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

Neuron 4337 in Layer 2

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

Text #0

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Max Act: 0.1221. Min Act: -0.0002

Data Index: 310257 (C4 (Web Text))

Max Activating Token Index: 209

Text #1

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Max Act: 0.1054. Min Act: -0.0002

Data Index: 53638 (C4 (Web Text))

Max Activating Token Index: 768

Text #2

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Max Act: 0.1078. Min Act: -0.0002

Data Index: 914030 (C4 (Web Text))

Max Activating Token Index: 1016

Text #3

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Max Act: 0.1104. Min Act: -0.0002

Data Index: 602773 (C4 (Web Text))

Max Activating Token Index: 291

Text #4

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Max Act: 0.1031. Min Act: -0.0002

Data Index: 819485 (C4 (Web Text))

Max Activating Token Index: 197

Text #5

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Max Act: 0.0995. Min Act: -0.0002

Data Index: 39459 (C4 (Web Text))

Max Activating Token Index: 639

Text #6

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Max Act: 0.1015. Min Act: -0.0002

Data Index: 1110110 (C4 (Web Text))

Max Activating Token Index: 106

Text #7

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Data Index: 584120 (C4 (Web Text))

Max Activating Token Index: 40

Text #8

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Data Index: 1336469 (C4 (Web Text))

Max Activating Token Index: 442

Text #9

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Max Act: 0.0945. Min Act: -0.0002

Data Index: 255251 (C4 (Web Text))

Max Activating Token Index: 81

Text #10

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Max Activating Token Index: 658

Text #11

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Data Index: 1607642 (Python Code)

Max Activating Token Index: 325

Text #12

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Data Index: 837423 (C4 (Web Text))

Max Activating Token Index: 31

Text #13

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Data Index: 1008815 (C4 (Web Text))

Max Activating Token Index: 4

Text #14

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Data Index: 494923 (C4 (Web Text))

Max Activating Token Index: 815

Text #15

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Data Index: 274592 (C4 (Web Text))

Max Activating Token Index: 260

Text #16

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Max Activating Token Index: 698

Text #17

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Max Activating Token Index: 646

Text #18

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Data Index: 861547 (C4 (Web Text))

Max Activating Token Index: 928

Text #19

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Max Act: 0.0777. Min Act: -0.0003

Data Index: 612118 (C4 (Web Text))

Max Activating Token Index: 291