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

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

Neuron 1610 in Layer 1

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

Text #0

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Max Act: 0.0429. Min Act: -0.0002

Data Index: 1403772 (Python Code)

Max Activating Token Index: 22

Text #1

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1404154 (Python Code)

Max Activating Token Index: 16

Text #2

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Max Act: 0.0385. Min Act: -0.0002

Data Index: 1361785 (Python Code)

Max Activating Token Index: 8

Text #3

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Max Act: 0.0336. Min Act: -0.0002

Data Index: 1576138 (Python Code)

Max Activating Token Index: 38

Text #4

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Max Act: 0.0346. Min Act: -0.0002

Data Index: 1391300 (Python Code)

Max Activating Token Index: 21

Text #5

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 1610201 (Python Code)

Max Activating Token Index: 23

Text #6

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Data Index: 1464218 (Python Code)

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Text #7

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Data Index: 1618350 (Python Code)

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Text #8

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Data Index: 1510400 (Python Code)

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Text #9

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Data Index: 1436639 (Python Code)

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Text #10

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Data Index: 1537370 (Python Code)

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Text #11

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Data Index: 1397781 (Python Code)

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Text #12

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Data Index: 1594244 (Python Code)

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Text #13

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Data Index: 1392736 (Python Code)

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Text #14

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Data Index: 1604734 (Python Code)

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Text #15

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Data Index: 1622431 (Python Code)

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Text #16

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Data Index: 1503850 (Python Code)

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Text #17

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Data Index: 1555829 (Python Code)

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Text #18

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Data Index: 1571431 (Python Code)

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Text #19

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Data Index: 1516908 (Python Code)

Max Activating Token Index: 26