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

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

Neuron 1626 in Layer 0

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

Text #0

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Max Act: 0.0287. Min Act: -0.0004

Data Index: 1404161 (Python Code)

Max Activating Token Index: 177

Text #1

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Max Act: 0.0276. Min Act: -0.0004

Data Index: 1629024 (Python Code)

Max Activating Token Index: 479

Text #2

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Max Act: 0.0267. Min Act: -0.0004

Data Index: 1371760 (Python Code)

Max Activating Token Index: 927

Text #3

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Max Act: 0.0264. Min Act: -0.0004

Data Index: 1372912 (Python Code)

Max Activating Token Index: 308

Text #4

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Max Act: 0.0261. Min Act: -0.0004

Data Index: 1462434 (Python Code)

Max Activating Token Index: 676

Text #5

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Data Index: 1569702 (Python Code)

Max Activating Token Index: 451

Text #6

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Data Index: 1655161 (Python Code)

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Text #7

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Data Index: 1465800 (Python Code)

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Text #8

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Data Index: 1520702 (Python Code)

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Text #9

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Data Index: 1540376 (Python Code)

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Text #10

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Data Index: 1491305 (Python Code)

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Text #11

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Data Index: 1373997 (Python Code)

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Text #12

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Data Index: 1580582 (Python Code)

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Text #13

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Data Index: 1488178 (Python Code)

Max Activating Token Index: 521

Text #14

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Data Index: 1550737 (Python Code)

Max Activating Token Index: 613

Text #15

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Data Index: 1627515 (Python Code)

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Text #16

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Data Index: 1560348 (Python Code)

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Text #17

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Data Index: 1387816 (Python Code)

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Text #18

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Data Index: 1640445 (Python Code)

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Text #19

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Data Index: 1523421 (Python Code)

Max Activating Token Index: 218