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

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

Neuron 2607 in Layer 0

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

Text #0

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Max Act: 0.0368. Min Act: -0.0002

Data Index: 1408752 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0349. Min Act: -0.0002

Data Index: 1545466 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0347. Min Act: -0.0002

Data Index: 1608363 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0342. Min Act: -0.0002

Data Index: 1559174 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0347. Min Act: -0.0002

Data Index: 1647604 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 1451941 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1587084 (Python Code)

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Text #7

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Data Index: 1430724 (Python Code)

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Text #8

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Data Index: 1513729 (Python Code)

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Text #9

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Data Index: 1579509 (Python Code)

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Text #10

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Data Index: 1489229 (Python Code)

Max Activating Token Index: 457

Text #11

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Data Index: 1536224 (Python Code)

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Text #12

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Data Index: 1518168 (Python Code)

Max Activating Token Index: 407

Text #13

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Data Index: 1625783 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1471487 (Python Code)

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Text #15

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Data Index: 1524341 (Python Code)

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Text #16

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Data Index: 1386625 (Python Code)

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Text #17

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Data Index: 1534516 (Python Code)

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Text #18

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Data Index: 1632876 (Python Code)

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Text #19

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Max Act: 0.0321. Min Act: -0.0002

Data Index: 1610161 (Python Code)

Max Activating Token Index: 1023