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

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

Neuron 176 in Layer 1

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

Text #0

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Max Act: 0.0544. Min Act: -0.0003

Data Index: 467483 (C4 (Web Text))

Max Activating Token Index: 687

Text #1

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 1174812 (C4 (Web Text))

Max Activating Token Index: 49

Text #2

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 885040 (C4 (Web Text))

Max Activating Token Index: 860

Text #3

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Max Act: 0.0353. Min Act: -0.0003

Data Index: 1350177 (C4 (Web Text))

Max Activating Token Index: 666

Text #4

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Max Act: 0.0345. Min Act: -0.0003

Data Index: 366988 (C4 (Web Text))

Max Activating Token Index: 907

Text #5

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 237169 (C4 (Web Text))

Max Activating Token Index: 126

Text #6

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Data Index: 15765 (C4 (Web Text))

Max Activating Token Index: 586

Text #7

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Max Activating Token Index: 597

Text #8

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Data Index: 340793 (C4 (Web Text))

Max Activating Token Index: 195

Text #9

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Max Activating Token Index: 74

Text #10

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Max Activating Token Index: 633

Text #11

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Max Activating Token Index: 930

Text #12

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Data Index: 412606 (C4 (Web Text))

Max Activating Token Index: 243

Text #13

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Data Index: 117241 (C4 (Web Text))

Max Activating Token Index: 204

Text #14

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Data Index: 751857 (C4 (Web Text))

Max Activating Token Index: 509

Text #15

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Text #16

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Max Activating Token Index: 727

Text #17

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Max Activating Token Index: 251

Text #18

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Max Activating Token Index: 983

Text #19

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Data Index: 594383 (C4 (Web Text))

Max Activating Token Index: 770