Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1627 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 1552071 (Python Code)

Max Activating Token Index: 103

Text #1

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Max Act: 0.0186. Min Act: -0.0004

Data Index: 1611022 (Python Code)

Max Activating Token Index: 220

Text #2

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Max Act: 0.0181. Min Act: -0.0004

Data Index: 1372644 (Python Code)

Max Activating Token Index: 322

Text #3

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Max Act: 0.0168. Min Act: -0.0004

Data Index: 1389847 (Python Code)

Max Activating Token Index: 114

Text #4

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Max Act: 0.0170. Min Act: -0.0004

Data Index: 1509118 (Python Code)

Max Activating Token Index: 43

Text #5

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Max Act: 0.0166. Min Act: -0.0004

Data Index: 1363129 (Python Code)

Max Activating Token Index: 485

Text #6

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Data Index: 1559954 (Python Code)

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Text #7

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Data Index: 1425518 (Python Code)

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Text #8

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Data Index: 1415976 (Python Code)

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Text #9

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Data Index: 1360643 (Python Code)

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Text #10

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Data Index: 1625058 (Python Code)

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Text #11

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Data Index: 1360285 (Python Code)

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Data Index: 1454838 (Python Code)

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Text #13

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Data Index: 1442881 (Python Code)

Max Activating Token Index: 23

Text #14

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Data Index: 1655371 (Python Code)

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Text #15

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Data Index: 1653287 (Python Code)

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Text #16

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Data Index: 1514339 (Python Code)

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Text #17

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Data Index: 1586636 (Python Code)

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Text #18

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Data Index: 1396985 (Python Code)

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Text #19

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Data Index: 1432471 (Python Code)

Max Activating Token Index: 61