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

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

Neuron 1365 in Layer 1

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

Text #0

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Max Act: 0.0456. Min Act: -0.0004

Data Index: 1306069 (C4 (Web Text))

Max Activating Token Index: 504

Text #1

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Max Activating Token Index: 336

Text #2

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Max Act: 0.0410. Min Act: -0.0003

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Max Activating Token Index: 21

Text #3

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 1140579 (C4 (Web Text))

Max Activating Token Index: 386

Text #4

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Data Index: 1075520 (C4 (Web Text))

Max Activating Token Index: 471

Text #5

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Max Act: 0.0393. Min Act: -0.0003

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Max Activating Token Index: 300

Text #6

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Max Activating Token Index: 525

Text #7

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Text #8

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Max Activating Token Index: 982

Text #9

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Max Activating Token Index: 20

Text #10

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Max Activating Token Index: 220

Text #11

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Max Activating Token Index: 179

Text #12

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Text #13

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Max Activating Token Index: 912

Text #14

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Max Activating Token Index: 50

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 739

Text #18

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Max Activating Token Index: 284

Text #19

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Data Index: 1253287 (C4 (Web Text))

Max Activating Token Index: 263