Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1532 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1321337 (C4 (Web Text))

Max Activating Token Index: 57

Text #1

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Max Act: 0.0191. Min Act: -0.0006

Data Index: 1239856 (C4 (Web Text))

Max Activating Token Index: 288

Text #2

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 405875 (C4 (Web Text))

Max Activating Token Index: 302

Text #3

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Max Act: 0.0171. Min Act: -0.0006

Data Index: 208449 (C4 (Web Text))

Max Activating Token Index: 269

Text #4

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 335854 (C4 (Web Text))

Max Activating Token Index: 915

Text #5

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Max Activating Token Index: 977

Text #6

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Max Activating Token Index: 500

Text #7

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Max Activating Token Index: 277

Text #8

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Max Activating Token Index: 268

Text #9

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Max Activating Token Index: 65

Text #10

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Max Activating Token Index: 173

Text #11

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Max Activating Token Index: 361

Text #12

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Max Activating Token Index: 1021

Text #13

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Data Index: 786735 (C4 (Web Text))

Max Activating Token Index: 207

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: 244

Text #18

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Data Index: 134514 (C4 (Web Text))

Max Activating Token Index: 955

Text #19

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Data Index: 1126974 (C4 (Web Text))

Max Activating Token Index: 335