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

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

Neuron 693 in Layer 0

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

Text #0

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Max Act: 0.0631. Min Act: -0.0004

Data Index: 280306 (C4 (Web Text))

Max Activating Token Index: 281

Text #1

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Max Act: 0.0585. Min Act: -0.0004

Data Index: 1048463 (C4 (Web Text))

Max Activating Token Index: 432

Text #2

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Max Act: 0.0579. Min Act: -0.0004

Data Index: 1107335 (C4 (Web Text))

Max Activating Token Index: 482

Text #3

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Max Act: 0.0585. Min Act: -0.0004

Data Index: 636839 (C4 (Web Text))

Max Activating Token Index: 659

Text #4

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Data Index: 169612 (C4 (Web Text))

Max Activating Token Index: 672

Text #5

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Data Index: 483702 (C4 (Web Text))

Max Activating Token Index: 239

Text #6

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Max Activating Token Index: 596

Text #7

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Max Activating Token Index: 637

Text #8

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Max Activating Token Index: 400

Text #9

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Max Activating Token Index: 483

Text #10

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Max Activating Token Index: 480

Text #11

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Max Activating Token Index: 587

Text #12

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Max Activating Token Index: 694

Text #13

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Max Activating Token Index: 731

Text #14

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Max Activating Token Index: 519

Text #15

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Text #16

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Max Activating Token Index: 171

Text #17

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Text #18

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Max Activating Token Index: 589

Text #19

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Data Index: 1140895 (C4 (Web Text))

Max Activating Token Index: 546