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

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

Neuron 740 in Layer 0

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

Text #0

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 1515450 (Python Code)

Max Activating Token Index: 1022

Text #1

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1427423 (Python Code)

Max Activating Token Index: 1020

Text #2

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Max Act: 0.0264. Min Act: -0.0002

Data Index: 1575230 (Python Code)

Max Activating Token Index: 1020

Text #3

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Max Act: 0.0260. Min Act: -0.0002

Data Index: 1492757 (Python Code)

Max Activating Token Index: 1022

Text #4

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1471023 (Python Code)

Max Activating Token Index: 1021

Text #5

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Max Act: 0.0252. Min Act: -0.0002

Data Index: 1591293 (Python Code)

Max Activating Token Index: 1020

Text #6

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Data Index: 1655450 (Python Code)

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Text #7

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Data Index: 1375673 (Python Code)

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Text #8

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Data Index: 1387525 (Python Code)

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Text #9

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Data Index: 1647608 (Python Code)

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Text #10

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Data Index: 1502662 (Python Code)

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Text #11

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Data Index: 1450197 (Python Code)

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Text #12

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Data Index: 1564255 (Python Code)

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Text #13

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Data Index: 1437493 (Python Code)

Max Activating Token Index: 1022

Text #14

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Data Index: 1367224 (Python Code)

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Text #15

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Data Index: 1605990 (Python Code)

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Text #16

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Data Index: 1498348 (Python Code)

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Text #17

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Data Index: 1364467 (Python Code)

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Text #18

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Data Index: 1575665 (Python Code)

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Text #19

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Max Act: 0.0219. Min Act: -0.0002

Data Index: 1614593 (Python Code)

Max Activating Token Index: 1020