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

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

Neuron 165 in Layer 1

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

Text #0

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 780124 (C4 (Web Text))

Max Activating Token Index: 493

Text #1

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Data Index: 463098 (C4 (Web Text))

Max Activating Token Index: 430

Text #2

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Max Act: 0.0236. Min Act: -0.0003

Data Index: 681926 (C4 (Web Text))

Max Activating Token Index: 233

Text #3

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 1090393 (C4 (Web Text))

Max Activating Token Index: 767

Text #4

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Data Index: 1287648 (C4 (Web Text))

Max Activating Token Index: 790

Text #5

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Max Activating Token Index: 894

Text #6

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Max Activating Token Index: 144

Text #7

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Max Activating Token Index: 722

Text #8

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Max Activating Token Index: 879

Text #9

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Max Activating Token Index: 77

Text #10

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Max Activating Token Index: 217

Text #11

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Max Activating Token Index: 676

Text #12

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Max Activating Token Index: 651

Text #13

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Data Index: 995310 (C4 (Web Text))

Max Activating Token Index: 838

Text #14

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Data Index: 1549192 (Python Code)

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Text #15

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Data Index: 382054 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1369380 (Python Code)

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Text #18

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Data Index: 1106610 (C4 (Web Text))

Max Activating Token Index: 742

Text #19

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 1191632 (C4 (Web Text))

Max Activating Token Index: 966