Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1282 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 442326 (C4 (Web Text))

Max Activating Token Index: 379

Text #1

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 14345 (C4 (Web Text))

Max Activating Token Index: 693

Text #2

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Max Act: 0.0248. Min Act: -0.0006

Data Index: 1197540 (C4 (Web Text))

Max Activating Token Index: 429

Text #3

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Max Act: 0.0238. Min Act: -0.0006

Data Index: 9229 (C4 (Web Text))

Max Activating Token Index: 970

Text #4

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 448632 (C4 (Web Text))

Max Activating Token Index: 41

Text #5

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Max Act: 0.0233. Min Act: -0.0006

Data Index: 53100 (C4 (Web Text))

Max Activating Token Index: 721

Text #6

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Max Activating Token Index: 422

Text #7

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Data Index: 571650 (C4 (Web Text))

Max Activating Token Index: 243

Text #8

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Data Index: 568188 (C4 (Web Text))

Max Activating Token Index: 285

Text #9

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Data Index: 487940 (C4 (Web Text))

Max Activating Token Index: 504

Text #10

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Max Activating Token Index: 967

Text #11

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Max Activating Token Index: 742

Text #12

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Max Activating Token Index: 85

Text #13

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Data Index: 316672 (C4 (Web Text))

Max Activating Token Index: 823

Text #14

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Max Activating Token Index: 640

Text #15

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Text #16

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Max Activating Token Index: 250

Text #17

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Max Activating Token Index: 659

Text #18

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Data Index: 1022501 (C4 (Web Text))

Max Activating Token Index: 550

Text #19

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Data Index: 1060306 (C4 (Web Text))

Max Activating Token Index: 282