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

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

Neuron 1078 in Layer 1

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

Text #0

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Max Act: 0.0534. Min Act: -0.0003

Data Index: 1262115 (C4 (Web Text))

Max Activating Token Index: 347

Text #1

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Max Act: 0.0502. Min Act: -0.0002

Data Index: 957929 (C4 (Web Text))

Max Activating Token Index: 289

Text #2

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Max Act: 0.0504. Min Act: -0.0003

Data Index: 495789 (C4 (Web Text))

Max Activating Token Index: 312

Text #3

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Max Act: 0.0495. Min Act: -0.0002

Data Index: 160167 (C4 (Web Text))

Max Activating Token Index: 313

Text #4

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Data Index: 1149599 (C4 (Web Text))

Max Activating Token Index: 596

Text #5

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Max Act: 0.0485. Min Act: -0.0002

Data Index: 185153 (C4 (Web Text))

Max Activating Token Index: 136

Text #6

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Data Index: 1216657 (C4 (Web Text))

Max Activating Token Index: 293

Text #7

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Data Index: 85072 (C4 (Web Text))

Max Activating Token Index: 496

Text #8

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Data Index: 700506 (C4 (Web Text))

Max Activating Token Index: 320

Text #9

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Max Activating Token Index: 454

Text #10

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Data Index: 367394 (C4 (Web Text))

Max Activating Token Index: 641

Text #11

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Max Activating Token Index: 510

Text #12

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Max Activating Token Index: 374

Text #13

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Data Index: 1150332 (C4 (Web Text))

Max Activating Token Index: 229

Text #14

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Data Index: 183774 (C4 (Web Text))

Max Activating Token Index: 286

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 430

Text #18

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Data Index: 1244775 (C4 (Web Text))

Max Activating Token Index: 531

Text #19

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Data Index: 278405 (C4 (Web Text))

Max Activating Token Index: 491