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

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

Neuron 1450 in Layer 1

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

Text #0

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Max Act: 0.0208. Min Act: -0.0006

Data Index: 1487941 (Python Code)

Max Activating Token Index: 387

Text #1

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Max Act: 0.0209. Min Act: -0.0006

Data Index: 1649813 (Python Code)

Max Activating Token Index: 223

Text #2

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Max Act: 0.0194. Min Act: -0.0006

Data Index: 1420254 (Python Code)

Max Activating Token Index: 631

Text #3

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Max Act: 0.0196. Min Act: -0.0006

Data Index: 1591775 (Python Code)

Max Activating Token Index: 669

Text #4

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Max Act: 0.0191. Min Act: -0.0006

Data Index: 1483386 (Python Code)

Max Activating Token Index: 747

Text #5

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Data Index: 1457127 (Python Code)

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Text #6

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Data Index: 1570507 (Python Code)

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Text #7

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Data Index: 1521647 (Python Code)

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Text #8

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Data Index: 1651342 (Python Code)

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Text #9

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Data Index: 1595532 (Python Code)

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Text #10

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Data Index: 1385711 (Python Code)

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Text #11

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Data Index: 1444651 (Python Code)

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Text #12

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Data Index: 1512288 (Python Code)

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Text #13

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Data Index: 1501802 (Python Code)

Max Activating Token Index: 462

Text #14

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Data Index: 1403973 (Python Code)

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Text #15

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Data Index: 1379218 (Python Code)

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Text #16

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Data Index: 1491992 (Python Code)

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Text #17

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Data Index: 1509288 (Python Code)

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Text #18

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Data Index: 1611269 (Python Code)

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Text #19

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Data Index: 1638959 (Python Code)

Max Activating Token Index: 409