Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 17 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0475. Min Act: -0.0003

Data Index: 870296 (C4 (Web Text))

Max Activating Token Index: 283

Text #1

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Max Act: 0.0443. Min Act: -0.0003

Data Index: 462732 (C4 (Web Text))

Max Activating Token Index: 958

Text #2

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 1038501 (C4 (Web Text))

Max Activating Token Index: 765

Text #3

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 181086 (C4 (Web Text))

Max Activating Token Index: 482

Text #4

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Max Act: 0.0403. Min Act: -0.0003

Data Index: 1262274 (C4 (Web Text))

Max Activating Token Index: 152

Text #5

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Max Act: 0.0418. Min Act: -0.0003

Data Index: 481972 (C4 (Web Text))

Max Activating Token Index: 468

Text #6

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Data Index: 863951 (C4 (Web Text))

Max Activating Token Index: 428

Text #7

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Data Index: 416503 (C4 (Web Text))

Max Activating Token Index: 220

Text #8

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Data Index: 1070428 (C4 (Web Text))

Max Activating Token Index: 328

Text #9

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Max Activating Token Index: 503

Text #10

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Max Activating Token Index: 724

Text #11

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Data Index: 1258060 (C4 (Web Text))

Max Activating Token Index: 551

Text #12

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Data Index: 440532 (C4 (Web Text))

Max Activating Token Index: 298

Text #13

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Max Activating Token Index: 143

Text #14

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Data Index: 353347 (C4 (Web Text))

Max Activating Token Index: 256

Text #15

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Max Activating Token Index: 372

Text #16

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Max Activating Token Index: 40

Text #17

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Data Index: 464733 (C4 (Web Text))

Max Activating Token Index: 299

Text #18

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Data Index: 242064 (C4 (Web Text))

Max Activating Token Index: 377

Text #19

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 905171 (C4 (Web Text))

Max Activating Token Index: 935