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

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

Neuron 1987 in Layer 0

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

Text #0

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Max Act: 0.0233. Min Act: -0.0004

Data Index: 422284 (C4 (Web Text))

Max Activating Token Index: 416

Text #1

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Data Index: 348887 (C4 (Web Text))

Max Activating Token Index: 358

Text #2

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Data Index: 834932 (C4 (Web Text))

Max Activating Token Index: 360

Text #3

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Max Act: 0.0224. Min Act: -0.0004

Data Index: 537125 (C4 (Web Text))

Max Activating Token Index: 249

Text #4

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Data Index: 207580 (C4 (Web Text))

Max Activating Token Index: 193

Text #5

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Max Activating Token Index: 877

Text #6

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Max Activating Token Index: 893

Text #7

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Max Activating Token Index: 507

Text #8

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Max Activating Token Index: 816

Text #9

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Max Activating Token Index: 539

Text #10

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Max Activating Token Index: 441

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Max Activating Token Index: 701

Text #12

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Max Activating Token Index: 869

Text #13

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Data Index: 701124 (C4 (Web Text))

Max Activating Token Index: 671

Text #14

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Data Index: 53666 (C4 (Web Text))

Max Activating Token Index: 694

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 815

Text #18

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Max Activating Token Index: 267

Text #19

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Max Act: 0.0200. Min Act: -0.0004

Data Index: 875641 (C4 (Web Text))

Max Activating Token Index: 264