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

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

Neuron 153 in Layer 0

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

Text #0

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1594771 (Python Code)

Max Activating Token Index: 25

Text #1

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 1526942 (Python Code)

Max Activating Token Index: 648

Text #2

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1611037 (Python Code)

Max Activating Token Index: 4

Text #3

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1609175 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1360373 (Python Code)

Max Activating Token Index: 2

Text #5

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1592225 (Python Code)

Max Activating Token Index: 2

Text #6

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Data Index: 1542161 (Python Code)

Max Activating Token Index: 826

Text #7

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Data Index: 1405127 (Python Code)

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Text #8

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Data Index: 1416047 (Python Code)

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Text #9

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Data Index: 1543086 (Python Code)

Max Activating Token Index: 318

Text #10

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Data Index: 1483898 (Python Code)

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Text #11

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Data Index: 1425995 (Python Code)

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Text #12

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Data Index: 1392884 (Python Code)

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Text #13

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Data Index: 1557581 (Python Code)

Max Activating Token Index: 61

Text #14

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Data Index: 1418259 (Python Code)

Max Activating Token Index: 672

Text #15

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Data Index: 1611542 (Python Code)

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Text #16

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Data Index: 1393548 (Python Code)

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Text #17

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Data Index: 1622407 (Python Code)

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Text #18

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Data Index: 1408630 (Python Code)

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Text #19

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Data Index: 1610244 (Python Code)

Max Activating Token Index: 264