Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 737 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0476. Min Act: -0.0006

Data Index: 364321 (C4 (Web Text))

Max Activating Token Index: 822

Text #1

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Max Activating Token Index: 786

Text #2

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Data Index: 708475 (C4 (Web Text))

Max Activating Token Index: 333

Text #3

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Max Act: 0.0455. Min Act: -0.0006

Data Index: 629534 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Data Index: 169358 (C4 (Web Text))

Max Activating Token Index: 249

Text #5

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Data Index: 950396 (C4 (Web Text))

Max Activating Token Index: 23

Text #6

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Max Activating Token Index: 526

Text #7

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Text #8

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Max Activating Token Index: 441

Text #9

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Max Activating Token Index: 261

Text #10

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Max Activating Token Index: 404

Text #11

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Max Activating Token Index: 10

Text #12

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Max Activating Token Index: 686

Text #13

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Max Activating Token Index: 16

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 368

Text #18

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Max Activating Token Index: 388

Text #19

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Data Index: 791505 (C4 (Web Text))

Max Activating Token Index: 456