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

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

Neuron 1533 in Layer 0

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

Text #0

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 176098 (C4 (Web Text))

Max Activating Token Index: 16

Text #1

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Max Activating Token Index: 556

Text #2

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Max Act: 0.0223. Min Act: -0.0004

Data Index: 301177 (C4 (Web Text))

Max Activating Token Index: 388

Text #3

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Data Index: 214980 (C4 (Web Text))

Max Activating Token Index: 767

Text #4

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Data Index: 1232370 (C4 (Web Text))

Max Activating Token Index: 305

Text #5

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Max Activating Token Index: 110

Text #6

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Max Activating Token Index: 790

Text #7

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Max Activating Token Index: 975

Text #8

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Max Activating Token Index: 480

Text #9

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Max Activating Token Index: 325

Text #10

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Max Activating Token Index: 917

Text #11

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Data Index: 840420 (C4 (Web Text))

Max Activating Token Index: 428

Text #12

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Max Activating Token Index: 916

Text #13

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Max Activating Token Index: 901

Text #14

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Max Activating Token Index: 658

Text #15

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Max Activating Token Index: 441

Text #16

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Max Activating Token Index: 392

Text #17

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Max Activating Token Index: 731

Text #18

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Max Activating Token Index: 304

Text #19

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Data Index: 1085705 (C4 (Web Text))

Max Activating Token Index: 359