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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 39 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 1393589 (Python Code)

Max Activating Token Index: 530

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Text #1

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1519025 (Python Code)

Max Activating Token Index: 1016

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Text #2

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 1084289 (C4 (Web Text))

Max Activating Token Index: 387

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Text #3

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 765298 (C4 (Web Text))

Max Activating Token Index: 679

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Text #4

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Data Index: 1593336 (Python Code)

Max Activating Token Index: 172

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 1499089 (Python Code)

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Data Index: 1552456 (Python Code)

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Text #7

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Data Index: 1495366 (Python Code)

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Text #8

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Data Index: 1426367 (Python Code)

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Text #9

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Data Index: 125437 (C4 (Web Text))

Max Activating Token Index: 293

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Text #10

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Data Index: 1389669 (Python Code)

Max Activating Token Index: 503

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Data Index: 1571958 (Python Code)

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Text #12

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Data Index: 1616095 (Python Code)

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Text #13

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Data Index: 1432236 (Python Code)

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Text #14

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Data Index: 674236 (C4 (Web Text))

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Text #15

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Data Index: 1398971 (Python Code)

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Text #16

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Data Index: 1605641 (Python Code)

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Text #17

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Data Index: 667545 (C4 (Web Text))

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Text #18

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Data Index: 1417988 (Python Code)

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Text #19

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 1453244 (Python Code)

Max Activating Token Index: 503

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