Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2810 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.1209. Min Act: -0.0003

Data Index: 798104 (C4 (Web Text))

Max Activating Token Index: 482

Text #1

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Max Act: 0.1188. Min Act: -0.0003

Data Index: 1322785 (C4 (Web Text))

Max Activating Token Index: 578

Text #2

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Max Act: 0.1166. Min Act: -0.0003

Data Index: 592312 (C4 (Web Text))

Max Activating Token Index: 388

Text #3

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Max Act: 0.1069. Min Act: -0.0003

Data Index: 1000787 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Max Act: 0.1061. Min Act: -0.0003

Data Index: 550848 (C4 (Web Text))

Max Activating Token Index: 935

Text #5

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Max Act: 0.1096. Min Act: -0.0003

Data Index: 901153 (C4 (Web Text))

Max Activating Token Index: 31

Text #6

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Data Index: 679056 (C4 (Web Text))

Max Activating Token Index: 444

Text #7

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Data Index: 1271869 (C4 (Web Text))

Max Activating Token Index: 828

Text #8

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Data Index: 562920 (C4 (Web Text))

Max Activating Token Index: 706

Text #9

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Data Index: 1296204 (C4 (Web Text))

Max Activating Token Index: 840

Text #10

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Data Index: 224851 (C4 (Web Text))

Max Activating Token Index: 718

Text #11

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Data Index: 1048463 (C4 (Web Text))

Max Activating Token Index: 359

Text #12

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Data Index: 544462 (C4 (Web Text))

Max Activating Token Index: 214

Text #13

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Data Index: 559841 (C4 (Web Text))

Max Activating Token Index: 420

Text #14

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Data Index: 1103734 (C4 (Web Text))

Max Activating Token Index: 217

Text #15

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Max Activating Token Index: 404

Text #16

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Max Activating Token Index: 60

Text #17

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Max Activating Token Index: 908

Text #18

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Data Index: 63515 (C4 (Web Text))

Max Activating Token Index: 36

Text #19

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Data Index: 852718 (C4 (Web Text))

Max Activating Token Index: 883