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

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

Neuron 1715 in Layer 1

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

Text #0

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 230918 (C4 (Web Text))

Max Activating Token Index: 474

Text #1

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Max Act: 0.0338. Min Act: -0.0003

Data Index: 713980 (C4 (Web Text))

Max Activating Token Index: 213

Text #2

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 269888 (C4 (Web Text))

Max Activating Token Index: 521

Text #3

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 65259 (C4 (Web Text))

Max Activating Token Index: 215

Text #4

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 109000 (C4 (Web Text))

Max Activating Token Index: 637

Text #5

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Max Act: 0.0277. Min Act: -0.0003

Data Index: 927606 (C4 (Web Text))

Max Activating Token Index: 530

Text #6

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Max Activating Token Index: 646

Text #7

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Max Activating Token Index: 743

Text #8

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Max Activating Token Index: 58

Text #9

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Max Activating Token Index: 541

Text #10

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Max Activating Token Index: 267

Text #11

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Data Index: 325855 (C4 (Web Text))

Max Activating Token Index: 433

Text #12

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Max Activating Token Index: 168

Text #13

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Data Index: 209459 (C4 (Web Text))

Max Activating Token Index: 932

Text #14

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Data Index: 1145799 (C4 (Web Text))

Max Activating Token Index: 435

Text #15

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Text #16

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Max Activating Token Index: 535

Text #17

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Max Activating Token Index: 50

Text #18

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Max Activating Token Index: 263

Text #19

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Data Index: 139529 (C4 (Web Text))

Max Activating Token Index: 468