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

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

Neuron 944 in Layer 2

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

Text #0

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 426015 (C4 (Web Text))

Max Activating Token Index: 940

Text #1

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 502247 (C4 (Web Text))

Max Activating Token Index: 62

Text #2

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1312020 (C4 (Web Text))

Max Activating Token Index: 780

Text #3

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 290335 (C4 (Web Text))

Max Activating Token Index: 693

Text #4

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 1653062 (Python Code)

Max Activating Token Index: 996

Text #5

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Data Index: 1539684 (Python Code)

Max Activating Token Index: 301

Text #6

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Data Index: 174334 (C4 (Web Text))

Max Activating Token Index: 1013

Text #7

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Max Activating Token Index: 933

Text #8

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Max Activating Token Index: 88

Text #9

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Text #10

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Max Activating Token Index: 764

Text #11

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Data Index: 395 (C4 (Web Text))

Max Activating Token Index: 99

Text #12

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Data Index: 192024 (C4 (Web Text))

Max Activating Token Index: 103

Text #13

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Data Index: 661244 (C4 (Web Text))

Max Activating Token Index: 251

Text #14

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Max Activating Token Index: 787

Text #15

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Text #16

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Text #17

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Data Index: 100030 (C4 (Web Text))

Max Activating Token Index: 246

Text #18

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Max Activating Token Index: 187

Text #19

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Data Index: 797561 (C4 (Web Text))

Max Activating Token Index: 393