Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1912 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0314. Min Act: -0.0006

Data Index: 1602717 (Python Code)

Max Activating Token Index: 330

Text #1

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Max Act: 0.0267. Min Act: -0.0006

Data Index: 1625044 (Python Code)

Max Activating Token Index: 91

Text #2

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Max Act: 0.0256. Min Act: -0.0006

Data Index: 1574863 (Python Code)

Max Activating Token Index: 89

Text #3

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Max Act: 0.0241. Min Act: -0.0006

Data Index: 1641393 (Python Code)

Max Activating Token Index: 933

Text #4

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Max Act: 0.0236. Min Act: -0.0006

Data Index: 1549213 (Python Code)

Max Activating Token Index: 443

Text #5

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Max Act: 0.0246. Min Act: -0.0006

Data Index: 1498179 (Python Code)

Max Activating Token Index: 511

Text #6

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Data Index: 1545943 (Python Code)

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Text #7

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Data Index: 1441499 (Python Code)

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Text #8

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Data Index: 1512589 (Python Code)

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Text #9

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Data Index: 1522792 (Python Code)

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Text #10

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Data Index: 1606110 (Python Code)

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Text #11

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Data Index: 1484317 (Python Code)

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Text #12

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Data Index: 1371733 (Python Code)

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Text #13

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Data Index: 1643649 (Python Code)

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Text #14

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Data Index: 1433175 (Python Code)

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Text #15

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Data Index: 1475869 (Python Code)

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Text #16

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Data Index: 1370272 (Python Code)

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Text #17

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Data Index: 1428162 (Python Code)

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Text #18

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Data Index: 1496733 (Python Code)

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Text #19

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Max Act: 0.0237. Min Act: -0.0006

Data Index: 1519905 (Python Code)

Max Activating Token Index: 377