Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 859 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0204. Min Act: -0.0003

Data Index: 1063862 (C4 (Web Text))

Max Activating Token Index: 441

Text #1

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Data Index: 1273325 (C4 (Web Text))

Max Activating Token Index: 480

Text #2

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 773008 (C4 (Web Text))

Max Activating Token Index: 141

Text #3

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 1283661 (C4 (Web Text))

Max Activating Token Index: 700

Text #4

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Max Act: 0.0198. Min Act: -0.0003

Data Index: 640954 (C4 (Web Text))

Max Activating Token Index: 167

Text #5

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Max Act: 0.0198. Min Act: -0.0003

Data Index: 476420 (C4 (Web Text))

Max Activating Token Index: 543

Text #6

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Max Activating Token Index: 380

Text #7

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Max Activating Token Index: 111

Text #8

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Data Index: 1002880 (C4 (Web Text))

Max Activating Token Index: 750

Text #9

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Data Index: 911674 (C4 (Web Text))

Max Activating Token Index: 382

Text #10

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Max Activating Token Index: 415

Text #11

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Max Activating Token Index: 77

Text #12

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Data Index: 280583 (C4 (Web Text))

Max Activating Token Index: 491

Text #13

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Max Activating Token Index: 883

Text #14

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Max Activating Token Index: 117

Text #15

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Max Activating Token Index: 87

Text #16

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Text #17

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Max Activating Token Index: 734

Text #18

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Data Index: 565002 (C4 (Web Text))

Max Activating Token Index: 346

Text #19

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 1009342 (C4 (Web Text))

Max Activating Token Index: 104