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

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

Neuron 430 in Layer 0

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

Text #0

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 1531733 (Python Code)

Max Activating Token Index: 25

Text #1

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Max Act: 0.0275. Min Act: -0.0002

Data Index: 1388845 (Python Code)

Max Activating Token Index: 50

Text #2

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Data Index: 1616323 (Python Code)

Max Activating Token Index: 125

Text #3

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 1375486 (Python Code)

Max Activating Token Index: 9

Text #4

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 1483552 (Python Code)

Max Activating Token Index: 11

Text #5

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Data Index: 1490078 (Python Code)

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Text #6

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Data Index: 1562743 (Python Code)

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Text #7

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Data Index: 1478613 (Python Code)

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Text #8

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Data Index: 1524609 (Python Code)

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Text #9

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Data Index: 1565254 (Python Code)

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Text #10

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Data Index: 1539517 (Python Code)

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Text #11

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Data Index: 1645474 (Python Code)

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Text #12

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Data Index: 1602180 (Python Code)

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Text #13

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Data Index: 1637506 (Python Code)

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Text #14

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Data Index: 1393981 (Python Code)

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Text #15

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Data Index: 1412794 (Python Code)

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Text #16

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Data Index: 1400107 (Python Code)

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Text #17

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Data Index: 1644068 (Python Code)

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Text #18

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Data Index: 1505880 (Python Code)

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Text #19

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Data Index: 1428486 (Python Code)

Max Activating Token Index: 43