Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1960 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 852219 (C4 (Web Text))

Max Activating Token Index: 142

Text #1

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Max Act: 0.0202. Min Act: -0.0006

Data Index: 1194798 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0188. Min Act: -0.0006

Data Index: 433587 (C4 (Web Text))

Max Activating Token Index: 297

Text #3

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 789277 (C4 (Web Text))

Max Activating Token Index: 813

Text #4

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 678470 (C4 (Web Text))

Max Activating Token Index: 271

Text #5

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Data Index: 818084 (C4 (Web Text))

Max Activating Token Index: 85

Text #6

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Max Activating Token Index: 480

Text #7

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Data Index: 369750 (C4 (Web Text))

Max Activating Token Index: 215

Text #8

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Max Activating Token Index: 305

Text #9

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Max Activating Token Index: 937

Text #10

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Max Activating Token Index: 943

Text #11

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Max Activating Token Index: 777

Text #12

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Max Activating Token Index: 522

Text #13

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Max Activating Token Index: 549

Text #14

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Max Activating Token Index: 288

Text #15

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Text #16

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Max Activating Token Index: 199

Text #17

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Max Activating Token Index: 250

Text #18

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Max Activating Token Index: 203

Text #19

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Data Index: 22047 (C4 (Web Text))

Max Activating Token Index: 220