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

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

Neuron 1854 in Layer 0

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

Text #0

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Max Act: 0.0203. Min Act: -0.0004

Data Index: 1521478 (Python Code)

Max Activating Token Index: 464

Text #1

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 1457101 (Python Code)

Max Activating Token Index: 810

Text #2

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Max Act: 0.0175. Min Act: -0.0004

Data Index: 1365505 (Python Code)

Max Activating Token Index: 772

Text #3

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Max Act: 0.0167. Min Act: -0.0004

Data Index: 1651925 (Python Code)

Max Activating Token Index: 892

Text #4

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Max Act: 0.0169. Min Act: -0.0004

Data Index: 1559755 (Python Code)

Max Activating Token Index: 885

Text #5

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Max Act: 0.0162. Min Act: -0.0004

Data Index: 1379883 (Python Code)

Max Activating Token Index: 768

Text #6

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Data Index: 1419967 (Python Code)

Max Activating Token Index: 139

Text #7

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Data Index: 1518081 (Python Code)

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Text #8

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Data Index: 1454394 (Python Code)

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Text #9

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Data Index: 1514319 (Python Code)

Max Activating Token Index: 150

Text #10

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Data Index: 1518870 (Python Code)

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Text #11

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Data Index: 1449991 (Python Code)

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Text #12

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Data Index: 1508543 (Python Code)

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Text #13

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Data Index: 1632265 (Python Code)

Max Activating Token Index: 276

Text #14

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Data Index: 1582856 (Python Code)

Max Activating Token Index: 478

Text #15

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Data Index: 1537741 (Python Code)

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Text #16

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Data Index: 1493364 (Python Code)

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Text #17

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Data Index: 1443432 (Python Code)

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Text #18

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Data Index: 1368592 (Python Code)

Max Activating Token Index: 357

Text #19

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Max Act: 0.0150. Min Act: -0.0004

Data Index: 1590746 (Python Code)

Max Activating Token Index: 655