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

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

Neuron 1244 in Layer 0

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

Text #0

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Max Act: 0.0271. Min Act: -0.0005

Data Index: 1541016 (Python Code)

Max Activating Token Index: 252

Text #1

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Max Act: 0.0245. Min Act: -0.0005

Data Index: 1514743 (Python Code)

Max Activating Token Index: 901

Text #2

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Max Act: 0.0208. Min Act: -0.0005

Data Index: 1599725 (Python Code)

Max Activating Token Index: 50

Text #3

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 1400387 (Python Code)

Max Activating Token Index: 822

Text #4

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Max Act: 0.0204. Min Act: -0.0005

Data Index: 1575543 (Python Code)

Max Activating Token Index: 782

Text #5

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Data Index: 1555611 (Python Code)

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Text #6

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Data Index: 1528660 (Python Code)

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Text #7

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Data Index: 1652029 (Python Code)

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Text #8

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Data Index: 1497164 (Python Code)

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Text #9

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Data Index: 1492401 (Python Code)

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Text #10

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Data Index: 1653866 (Python Code)

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Text #11

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Data Index: 1580887 (Python Code)

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Text #12

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Data Index: 1500724 (Python Code)

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Text #13

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Data Index: 1503692 (Python Code)

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Text #14

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Data Index: 1528901 (Python Code)

Max Activating Token Index: 72

Text #15

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Data Index: 1525921 (Python Code)

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Text #16

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Data Index: 1593808 (Python Code)

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Text #17

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Data Index: 1642347 (Python Code)

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Text #18

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Data Index: 1372271 (Python Code)

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Text #19

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Max Act: 0.0194. Min Act: -0.0005

Data Index: 1457042 (Python Code)

Max Activating Token Index: 898