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

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

Neuron 749 in Layer 0

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

Text #0

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Max Act: 0.0319. Min Act: -0.0004

Data Index: 978388 (C4 (Web Text))

Max Activating Token Index: 296

Text #1

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Data Index: 1041427 (C4 (Web Text))

Max Activating Token Index: 370

Text #2

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Max Act: 0.0300. Min Act: -0.0004

Data Index: 27603 (C4 (Web Text))

Max Activating Token Index: 182

Text #3

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Max Act: 0.0295. Min Act: -0.0004

Data Index: 165053 (C4 (Web Text))

Max Activating Token Index: 231

Text #4

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Data Index: 77064 (C4 (Web Text))

Max Activating Token Index: 524

Text #5

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Data Index: 279728 (C4 (Web Text))

Max Activating Token Index: 846

Text #6

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Max Activating Token Index: 812

Text #7

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Text #8

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Max Activating Token Index: 365

Text #9

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Max Activating Token Index: 197

Text #10

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Max Activating Token Index: 231

Text #11

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Max Activating Token Index: 793

Text #12

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Max Activating Token Index: 804

Text #13

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Max Activating Token Index: 652

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 339

Text #18

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Text #19

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Data Index: 1102641 (C4 (Web Text))

Max Activating Token Index: 17