Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3132 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1239342 (C4 (Web Text))

Max Activating Token Index: 227

Text #1

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Max Act: 0.0254. Min Act: -0.0002

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Max Activating Token Index: 1008

Text #2

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1158956 (C4 (Web Text))

Max Activating Token Index: 286

Text #3

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 100466 (C4 (Web Text))

Max Activating Token Index: 513

Text #4

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 717172 (C4 (Web Text))

Max Activating Token Index: 343

Text #5

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Max Activating Token Index: 69

Text #6

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Data Index: 488132 (C4 (Web Text))

Max Activating Token Index: 337

Text #7

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Max Activating Token Index: 642

Text #8

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Max Activating Token Index: 644

Text #9

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Max Activating Token Index: 120

Text #10

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Max Activating Token Index: 334

Text #11

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Data Index: 106193 (C4 (Web Text))

Max Activating Token Index: 435

Text #12

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Max Activating Token Index: 811

Text #13

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Data Index: 203305 (C4 (Web Text))

Max Activating Token Index: 221

Text #14

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Max Activating Token Index: 735

Text #15

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Max Activating Token Index: 574

Text #16

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Text #17

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Max Activating Token Index: 631

Text #18

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Max Activating Token Index: 123

Text #19

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Data Index: 1152317 (C4 (Web Text))

Max Activating Token Index: 162