Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 982 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0236. Min Act: -0.0004

Data Index: 1619274 (Python Code)

Max Activating Token Index: 29

Text #1

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Max Act: 0.0231. Min Act: -0.0004

Data Index: 1367161 (Python Code)

Max Activating Token Index: 40

Text #2

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Max Act: 0.0228. Min Act: -0.0004

Data Index: 1655312 (Python Code)

Max Activating Token Index: 864

Text #3

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Max Act: 0.0219. Min Act: -0.0004

Data Index: 1633606 (Python Code)

Max Activating Token Index: 10

Text #4

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Max Act: 0.0218. Min Act: -0.0004

Data Index: 1378906 (Python Code)

Max Activating Token Index: 64

Text #5

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Max Act: 0.0216. Min Act: -0.0004

Data Index: 1620330 (Python Code)

Max Activating Token Index: 183

Text #6

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Data Index: 1457488 (Python Code)

Max Activating Token Index: 21

Text #7

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Data Index: 1419735 (Python Code)

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Text #8

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Data Index: 1370504 (Python Code)

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Text #9

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Data Index: 1397242 (Python Code)

Max Activating Token Index: 89

Text #10

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Data Index: 1361393 (Python Code)

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Text #11

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Data Index: 1566336 (Python Code)

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Text #12

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Data Index: 1547767 (Python Code)

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Text #13

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Data Index: 1527882 (Python Code)

Max Activating Token Index: 807

Text #14

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Data Index: 1374852 (Python Code)

Max Activating Token Index: 91

Text #15

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Data Index: 1449135 (Python Code)

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Text #16

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Data Index: 1566212 (Python Code)

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Text #17

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Data Index: 1627329 (Python Code)

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Text #18

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Data Index: 1389358 (Python Code)

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Text #19

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Data Index: 1365534 (Python Code)

Max Activating Token Index: 402