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

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

Neuron 3361 in Layer 0

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

Text #0

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Max Act: 0.0376. Min Act: -0.0001

Data Index: 801827 (C4 (Web Text))

Max Activating Token Index: 257

Text #1

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Data Index: 953779 (C4 (Web Text))

Max Activating Token Index: 783

Text #2

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Max Act: 0.0349. Min Act: -0.0001

Data Index: 485402 (C4 (Web Text))

Max Activating Token Index: 113

Text #3

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 408216 (C4 (Web Text))

Max Activating Token Index: 510

Text #4

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Data Index: 466877 (C4 (Web Text))

Max Activating Token Index: 731

Text #5

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Data Index: 589160 (C4 (Web Text))

Max Activating Token Index: 260

Text #6

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Max Activating Token Index: 821

Text #7

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Max Activating Token Index: 646

Text #8

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Max Activating Token Index: 247

Text #9

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Data Index: 730372 (C4 (Web Text))

Max Activating Token Index: 585

Text #10

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Data Index: 526844 (C4 (Web Text))

Max Activating Token Index: 191

Text #11

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Data Index: 1337121 (C4 (Web Text))

Max Activating Token Index: 551

Text #12

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Data Index: 688944 (C4 (Web Text))

Max Activating Token Index: 400

Text #13

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Data Index: 1143281 (C4 (Web Text))

Max Activating Token Index: 568

Text #14

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Data Index: 332069 (C4 (Web Text))

Max Activating Token Index: 107

Text #15

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Max Activating Token Index: 352

Text #16

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Max Activating Token Index: 319

Text #17

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Max Activating Token Index: 830

Text #18

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Data Index: 125371 (C4 (Web Text))

Max Activating Token Index: 96

Text #19

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Data Index: 1109119 (C4 (Web Text))

Max Activating Token Index: 397