Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 230 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0328. Min Act: -0.0005

Data Index: 159279 (C4 (Web Text))

Max Activating Token Index: 243

Text #1

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Data Index: 1285068 (C4 (Web Text))

Max Activating Token Index: 407

Text #2

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Max Act: 0.0287. Min Act: -0.0004

Data Index: 1219272 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Max Act: 0.0292. Min Act: -0.0004

Data Index: 393127 (C4 (Web Text))

Max Activating Token Index: 337

Text #4

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Max Act: 0.0290. Min Act: -0.0004

Data Index: 223497 (C4 (Web Text))

Max Activating Token Index: 376

Text #5

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Max Activating Token Index: 994

Text #6

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Max Activating Token Index: 483

Text #7

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Max Activating Token Index: 922

Text #8

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Max Activating Token Index: 723

Text #9

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Data Index: 617334 (C4 (Web Text))

Max Activating Token Index: 573

Text #10

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Max Activating Token Index: 833

Text #11

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Max Activating Token Index: 663

Text #12

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Max Activating Token Index: 205

Text #13

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Data Index: 250604 (C4 (Web Text))

Max Activating Token Index: 614

Text #14

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Max Activating Token Index: 129

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 136

Text #18

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Data Index: 661680 (C4 (Web Text))

Max Activating Token Index: 129

Text #19

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Data Index: 919049 (C4 (Web Text))

Max Activating Token Index: 311