Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4183 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1466140 (Python Code)

Max Activating Token Index: 627

Text #1

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1370588 (Python Code)

Max Activating Token Index: 375

Text #2

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Max Act: 0.0171. Min Act: -0.0002

Data Index: 1470777 (Python Code)

Max Activating Token Index: 352

Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1608994 (Python Code)

Max Activating Token Index: 693

Text #4

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1614688 (Python Code)

Max Activating Token Index: 188

Text #5

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1463871 (Python Code)

Max Activating Token Index: 241

Text #6

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Data Index: 1599026 (Python Code)

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Text #7

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Data Index: 1502122 (Python Code)

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Text #8

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Data Index: 1392892 (Python Code)

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Text #9

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Data Index: 1381738 (Python Code)

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Text #10

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Data Index: 1482150 (Python Code)

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Text #11

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Data Index: 1559593 (Python Code)

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Text #12

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Data Index: 1525985 (Python Code)

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Text #13

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Data Index: 1575595 (Python Code)

Max Activating Token Index: 125

Text #14

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Data Index: 1550589 (Python Code)

Max Activating Token Index: 39

Text #15

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Data Index: 1474800 (Python Code)

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Text #16

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Data Index: 1435968 (Python Code)

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Text #17

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Data Index: 1410530 (Python Code)

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Text #18

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Data Index: 1480581 (Python Code)

Max Activating Token Index: 165

Text #19

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 1491200 (Python Code)

Max Activating Token Index: 132