Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 466 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0230. Min Range: -0.0230

Max Act: 0.0230. Min Act: -0.0003

Data Index: 1599573 (Python Code)

Max Activating Token Index: 489

Text #1

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 1393616 (Python Code)

Max Activating Token Index: 951

Text #2

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1587393 (Python Code)

Max Activating Token Index: 550

Text #3

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Max Act: 0.0198. Min Act: -0.0003

Data Index: 1111153 (C4 (Web Text))

Max Activating Token Index: 692

Text #4

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 1468343 (Python Code)

Max Activating Token Index: 272

Text #5

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 1451738 (Python Code)

Max Activating Token Index: 293

Text #6

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Data Index: 1455694 (Python Code)

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Text #7

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Data Index: 1027674 (C4 (Web Text))

Max Activating Token Index: 812

Text #8

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Data Index: 1618729 (Python Code)

Max Activating Token Index: 502

Text #9

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1564299 (Python Code)

Max Activating Token Index: 531

Text #10

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Max Act: 0.0182. Min Act: -0.0004

Data Index: 333682 (C4 (Web Text))

Max Activating Token Index: 588

Text #11

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Data Index: 1627967 (Python Code)

Max Activating Token Index: 839

Text #12

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Data Index: 1521238 (Python Code)

Max Activating Token Index: 909

Text #13

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Data Index: 51134 (C4 (Web Text))

Max Activating Token Index: 652

Text #14

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Data Index: 179907 (C4 (Web Text))

Max Activating Token Index: 1017

Text #15

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Data Index: 1579385 (Python Code)

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Text #16

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Data Index: 618136 (C4 (Web Text))

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Text #17

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Data Index: 1473372 (Python Code)

Max Activating Token Index: 485

Text #18

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Data Index: 1479572 (Python Code)

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Text #19

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Max Act: 0.0168. Min Act: -0.0004

Data Index: 303775 (C4 (Web Text))

Max Activating Token Index: 863