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

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

Neuron 1442 in Layer 1

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

Text #0

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Max Act: 0.0250. Min Act: -0.0004

Data Index: 274722 (C4 (Web Text))

Max Activating Token Index: 360

Text #1

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Max Act: 0.0249. Min Act: -0.0004

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Max Activating Token Index: 494

Text #2

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Max Act: 0.0245. Min Act: -0.0003

Data Index: 1038543 (C4 (Web Text))

Max Activating Token Index: 46

Text #3

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 1084634 (C4 (Web Text))

Max Activating Token Index: 251

Text #4

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 1280362 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Max Activating Token Index: 810

Text #6

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Max Activating Token Index: 632

Text #7

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Text #8

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Max Activating Token Index: 347

Text #9

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Max Activating Token Index: 508

Text #10

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Max Activating Token Index: 57

Text #11

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Max Activating Token Index: 154

Text #12

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Max Activating Token Index: 686

Text #13

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Max Activating Token Index: 313

Text #14

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Data Index: 978486 (C4 (Web Text))

Max Activating Token Index: 857

Text #15

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Text #16

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Max Activating Token Index: 393

Text #17

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Max Activating Token Index: 861

Text #18

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Max Activating Token Index: 284

Text #19

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Data Index: 1254628 (C4 (Web Text))

Max Activating Token Index: 340