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

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

Neuron 2039 in Layer 1

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

Text #0

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 1403942 (Python Code)

Max Activating Token Index: 911

Text #1

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1647503 (Python Code)

Max Activating Token Index: 128

Text #2

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Max Act: 0.0199. Min Act: -0.0001

Data Index: 1374162 (Python Code)

Max Activating Token Index: 769

Text #3

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1560297 (Python Code)

Max Activating Token Index: 173

Text #4

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1393469 (Python Code)

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Text #5

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Data Index: 1499798 (Python Code)

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Text #6

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Data Index: 1627698 (Python Code)

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Text #7

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Data Index: 1452310 (Python Code)

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Text #8

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Data Index: 1627676 (Python Code)

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Text #9

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Data Index: 1557197 (Python Code)

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Text #10

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Data Index: 1426245 (Python Code)

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Data Index: 1652812 (Python Code)

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Text #12

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Data Index: 1495963 (Python Code)

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Text #13

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Data Index: 1499592 (Python Code)

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Text #14

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Data Index: 1433425 (Python Code)

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Text #15

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Data Index: 1453157 (Python Code)

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Text #16

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Data Index: 1605177 (Python Code)

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Text #17

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Data Index: 1518819 (Python Code)

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Text #18

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Data Index: 1398738 (Python Code)

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Text #19

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Data Index: 1543345 (Python Code)

Max Activating Token Index: 397