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

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

Neuron 19 in Layer 1

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

Text #0

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 1375700 (Python Code)

Max Activating Token Index: 498

Text #1

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 1485378 (Python Code)

Max Activating Token Index: 939

Text #2

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 1455043 (Python Code)

Max Activating Token Index: 118

Text #3

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 1617882 (Python Code)

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Text #4

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 1491124 (Python Code)

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Text #5

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 1365064 (Python Code)

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Text #6

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Data Index: 1486420 (Python Code)

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Text #7

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Data Index: 1493583 (Python Code)

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Text #8

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Data Index: 1494702 (Python Code)

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Text #9

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Data Index: 1086029 (C4 (Web Text))

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Text #10

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Data Index: 1529116 (Python Code)

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Text #11

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Data Index: 1394994 (Python Code)

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Text #12

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Data Index: 1654613 (Python Code)

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Text #13

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Data Index: 1410413 (Python Code)

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Text #14

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Data Index: 1485295 (Python Code)

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Text #15

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Data Index: 1626364 (Python Code)

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Text #16

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Data Index: 1549938 (Python Code)

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Text #17

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Data Index: 1479103 (Python Code)

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Text #18

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Data Index: 1368918 (Python Code)

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Text #19

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Data Index: 1642636 (Python Code)

Max Activating Token Index: 968