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

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

Neuron 905 in Layer 2

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

Text #0

Max Range: 0.0242. Min Range: -0.0242

Max Act: 0.0242. Min Act: -0.0003

Data Index: 1368479 (Python Code)

Max Activating Token Index: 786

Text #1

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1564941 (Python Code)

Max Activating Token Index: 109

Text #2

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1437008 (Python Code)

Max Activating Token Index: 280

Text #3

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1452473 (Python Code)

Max Activating Token Index: 89

Text #4

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1501155 (Python Code)

Max Activating Token Index: 349

Text #5

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 13439 (C4 (Web Text))

Max Activating Token Index: 990

Text #6

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1601276 (Python Code)

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Text #7

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Data Index: 1429670 (Python Code)

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Text #8

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Data Index: 1571487 (Python Code)

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Text #9

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Data Index: 1656852 (Python Code)

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Text #10

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Data Index: 1391666 (Python Code)

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Text #11

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Data Index: 1550964 (Python Code)

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Text #12

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Data Index: 1494985 (Python Code)

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Text #13

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Data Index: 1580826 (Python Code)

Max Activating Token Index: 614

Text #14

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Data Index: 1120688 (C4 (Web Text))

Max Activating Token Index: 462

Text #15

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Data Index: 1545040 (Python Code)

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Text #16

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Data Index: 1453853 (Python Code)

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Text #17

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Data Index: 1424480 (Python Code)

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Text #18

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Data Index: 1503794 (Python Code)

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Text #19

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Max Act: 0.0158. Min Act: -0.0003

Data Index: 1559877 (Python Code)

Max Activating Token Index: 370