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

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

Neuron 4706 in Layer 0

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

Text #0

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 271509 (C4 (Web Text))

Max Activating Token Index: 481

Text #1

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 839923 (C4 (Web Text))

Max Activating Token Index: 749

Text #2

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 458635 (C4 (Web Text))

Max Activating Token Index: 206

Text #3

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 220316 (C4 (Web Text))

Max Activating Token Index: 829

Text #4

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Max Act: 0.0138. Min Act: -0.0002

Data Index: 48398 (C4 (Web Text))

Max Activating Token Index: 642

Text #5

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 1114733 (C4 (Web Text))

Max Activating Token Index: 56

Text #6

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Data Index: 947432 (C4 (Web Text))

Max Activating Token Index: 100

Text #7

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Max Activating Token Index: 762

Text #8

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Data Index: 472609 (C4 (Web Text))

Max Activating Token Index: 828

Text #9

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Max Activating Token Index: 100

Text #10

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Data Index: 1214037 (C4 (Web Text))

Max Activating Token Index: 424

Text #11

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Data Index: 1050961 (C4 (Web Text))

Max Activating Token Index: 786

Text #12

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Data Index: 198952 (C4 (Web Text))

Max Activating Token Index: 726

Text #13

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Data Index: 522871 (C4 (Web Text))

Max Activating Token Index: 945

Text #14

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Data Index: 989376 (C4 (Web Text))

Max Activating Token Index: 37

Text #15

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Max Activating Token Index: 458

Text #16

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Max Activating Token Index: 364

Text #17

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Max Activating Token Index: 236

Text #18

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Max Activating Token Index: 18

Text #19

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Max Act: 0.0117. Min Act: -0.0002

Data Index: 1311606 (C4 (Web Text))

Max Activating Token Index: 810