Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1820 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1379076 (Python Code)

Max Activating Token Index: 83

Text #1

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1422283 (Python Code)

Max Activating Token Index: 689

Text #2

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 724144 (C4 (Web Text))

Max Activating Token Index: 353

Text #3

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 1417504 (Python Code)

Max Activating Token Index: 420

Text #4

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Max Act: 0.0182. Min Act: -0.0001

Data Index: 1573680 (Python Code)

Max Activating Token Index: 831

Text #5

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Max Act: 0.0178. Min Act: -0.0003

Data Index: 1509408 (Python Code)

Max Activating Token Index: 585

Text #6

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Data Index: 1384885 (Python Code)

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Text #7

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Data Index: 1487390 (Python Code)

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Text #8

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Data Index: 1502450 (Python Code)

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Text #9

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Data Index: 1370286 (Python Code)

Max Activating Token Index: 720

Text #10

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Data Index: 1522646 (Python Code)

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Text #11

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Data Index: 472416 (C4 (Web Text))

Max Activating Token Index: 965

Text #12

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Data Index: 1656269 (Python Code)

Max Activating Token Index: 515

Text #13

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Data Index: 1606607 (Python Code)

Max Activating Token Index: 995

Text #14

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Data Index: 1459693 (Python Code)

Max Activating Token Index: 226

Text #15

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Data Index: 1592584 (Python Code)

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Text #16

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Data Index: 1409868 (Python Code)

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Text #17

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Data Index: 1653071 (Python Code)

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Text #18

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Data Index: 1581653 (Python Code)

Max Activating Token Index: 660

Text #19

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Data Index: 1410998 (Python Code)

Max Activating Token Index: 1016