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

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

Neuron 778 in Layer 1

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

Text #0

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Max Act: 0.0320. Min Act: -0.0006

Data Index: 807014 (C4 (Web Text))

Max Activating Token Index: 42

Text #1

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 898473 (C4 (Web Text))

Max Activating Token Index: 94

Text #2

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Max Act: 0.0294. Min Act: -0.0006

Data Index: 108756 (C4 (Web Text))

Max Activating Token Index: 282

Text #3

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Max Act: 0.0286. Min Act: -0.0006

Data Index: 965245 (C4 (Web Text))

Max Activating Token Index: 293

Text #4

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 176920 (C4 (Web Text))

Max Activating Token Index: 449

Text #5

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Max Act: 0.0290. Min Act: -0.0006

Data Index: 630327 (C4 (Web Text))

Max Activating Token Index: 60

Text #6

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Max Act: 0.0294. Min Act: -0.0006

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Max Activating Token Index: 84

Text #7

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Max Activating Token Index: 192

Text #8

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Data Index: 496587 (C4 (Web Text))

Max Activating Token Index: 454

Text #9

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Data Index: 334602 (C4 (Web Text))

Max Activating Token Index: 69

Text #10

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Max Activating Token Index: 457

Text #11

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Data Index: 720956 (C4 (Web Text))

Max Activating Token Index: 270

Text #12

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Data Index: 537223 (C4 (Web Text))

Max Activating Token Index: 609

Text #13

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Data Index: 470605 (C4 (Web Text))

Max Activating Token Index: 173

Text #14

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Max Activating Token Index: 1000

Text #15

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Max Activating Token Index: 742

Text #16

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Max Activating Token Index: 462

Text #17

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Max Activating Token Index: 738

Text #18

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Data Index: 837652 (C4 (Web Text))

Max Activating Token Index: 200

Text #19

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Data Index: 388769 (C4 (Web Text))

Max Activating Token Index: 60