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

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

Neuron 1829 in Layer 1

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

Text #0

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Data Index: 317901 (C4 (Web Text))

Max Activating Token Index: 49

Text #1

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Max Act: 0.0347. Min Act: -0.0003

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Max Activating Token Index: 72

Text #2

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 331876 (C4 (Web Text))

Max Activating Token Index: 197

Text #3

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 1160599 (C4 (Web Text))

Max Activating Token Index: 91

Text #4

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Data Index: 358353 (C4 (Web Text))

Max Activating Token Index: 52

Text #5

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Data Index: 41377 (C4 (Web Text))

Max Activating Token Index: 229

Text #6

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Max Activating Token Index: 700

Text #7

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Max Activating Token Index: 872

Text #8

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Max Activating Token Index: 551

Text #9

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Max Activating Token Index: 464

Text #10

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Max Activating Token Index: 625

Text #11

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Max Activating Token Index: 314

Text #12

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Max Activating Token Index: 944

Text #13

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Max Activating Token Index: 216

Text #14

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Max Activating Token Index: 633

Text #15

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Text #16

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Max Activating Token Index: 1000

Text #17

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Max Activating Token Index: 979

Text #18

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Max Activating Token Index: 523

Text #19

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Data Index: 768993 (C4 (Web Text))

Max Activating Token Index: 74