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

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

Neuron 1013 in Layer 0

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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: 1030031 (C4 (Web Text))

Max Activating Token Index: 979

Text #1

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Max Activating Token Index: 286

Text #2

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Max Act: 0.0239. Min Act: -0.0004

Data Index: 247570 (C4 (Web Text))

Max Activating Token Index: 750

Text #3

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Max Act: 0.0234. Min Act: -0.0004

Data Index: 698705 (C4 (Web Text))

Max Activating Token Index: 492

Text #4

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Max Act: 0.0224. Min Act: -0.0004

Data Index: 198376 (C4 (Web Text))

Max Activating Token Index: 225

Text #5

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Max Activating Token Index: 453

Text #6

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Max Activating Token Index: 923

Text #7

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Max Activating Token Index: 301

Text #8

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Max Activating Token Index: 218

Text #9

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Max Activating Token Index: 802

Text #10

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Max Activating Token Index: 625

Text #11

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Max Activating Token Index: 176

Text #12

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Max Activating Token Index: 350

Text #13

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Max Activating Token Index: 867

Text #14

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Max Activating Token Index: 363

Text #15

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Max Activating Token Index: 601

Text #16

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Max Activating Token Index: 777

Text #17

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Max Activating Token Index: 414

Text #18

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Max Activating Token Index: 107

Text #19

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Data Index: 360531 (C4 (Web Text))

Max Activating Token Index: 976