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

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

Neuron 888 in Layer 0

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

Text #0

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Max Act: 0.0236. Min Act: -0.0006

Data Index: 42641 (C4 (Web Text))

Max Activating Token Index: 655

Text #1

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Data Index: 467710 (C4 (Web Text))

Max Activating Token Index: 888

Text #2

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Max Act: 0.0203. Min Act: -0.0006

Data Index: 365991 (C4 (Web Text))

Max Activating Token Index: 398

Text #3

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 122649 (C4 (Web Text))

Max Activating Token Index: 741

Text #4

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Max Act: 0.0192. Min Act: -0.0006

Data Index: 285167 (C4 (Web Text))

Max Activating Token Index: 346

Text #5

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Data Index: 776568 (C4 (Web Text))

Max Activating Token Index: 462

Text #6

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Max Activating Token Index: 341

Text #7

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Max Activating Token Index: 894

Text #8

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Data Index: 9720 (C4 (Web Text))

Max Activating Token Index: 101

Text #9

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Max Activating Token Index: 756

Text #10

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Max Activating Token Index: 194

Text #11

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Data Index: 240307 (C4 (Web Text))

Max Activating Token Index: 972

Text #12

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Max Activating Token Index: 113

Text #13

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Data Index: 1338361 (C4 (Web Text))

Max Activating Token Index: 730

Text #14

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Max Activating Token Index: 589

Text #15

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Max Activating Token Index: 527

Text #16

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Text #17

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Max Activating Token Index: 693

Text #18

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Max Activating Token Index: 442

Text #19

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Data Index: 1307691 (C4 (Web Text))

Max Activating Token Index: 896