Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1227 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0241. Min Act: -0.0005

Data Index: 1366705 (Python Code)

Max Activating Token Index: 52

Text #1

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Max Act: 0.0210. Min Act: -0.0005

Data Index: 1374252 (Python Code)

Max Activating Token Index: 65

Text #2

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Max Act: 0.0208. Min Act: -0.0005

Data Index: 1648073 (Python Code)

Max Activating Token Index: 265

Text #3

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Max Act: 0.0193. Min Act: -0.0005

Data Index: 239113 (C4 (Web Text))

Max Activating Token Index: 817

Text #4

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 1635909 (Python Code)

Max Activating Token Index: 163

Text #5

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 912088 (C4 (Web Text))

Max Activating Token Index: 760

Text #6

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Data Index: 1460406 (Python Code)

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Text #7

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Data Index: 1592455 (Python Code)

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Text #8

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Data Index: 1530639 (Python Code)

Max Activating Token Index: 16

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Data Index: 1591863 (Python Code)

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Text #10

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Data Index: 1363493 (Python Code)

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Data Index: 1470256 (Python Code)

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Text #12

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Data Index: 1370749 (Python Code)

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Text #13

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Data Index: 1437176 (Python Code)

Max Activating Token Index: 60

Text #14

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Data Index: 1487342 (Python Code)

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Text #15

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Data Index: 1380748 (Python Code)

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Text #16

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Data Index: 1461095 (Python Code)

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Text #17

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Data Index: 1522047 (Python Code)

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Text #18

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Data Index: 1580480 (Python Code)

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Text #19

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Max Act: 0.0178. Min Act: -0.0005

Data Index: 1344834 (C4 (Web Text))

Max Activating Token Index: 212