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

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

Neuron 85 in Layer 2

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

Text #0

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1627184 (Python Code)

Max Activating Token Index: 72

Text #1

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 1510682 (Python Code)

Max Activating Token Index: 667

Text #2

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 1458669 (Python Code)

Max Activating Token Index: 663

Text #3

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 1475129 (Python Code)

Max Activating Token Index: 429

Text #4

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 562908 (C4 (Web Text))

Max Activating Token Index: 989

Text #5

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Max Act: 0.0213. Min Act: -0.0002

Data Index: 865904 (C4 (Web Text))

Max Activating Token Index: 70

Text #6

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Data Index: 1624029 (Python Code)

Max Activating Token Index: 377

Text #7

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Data Index: 316160 (C4 (Web Text))

Max Activating Token Index: 683

Text #8

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Data Index: 1337865 (C4 (Web Text))

Max Activating Token Index: 936

Text #9

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Data Index: 221521 (C4 (Web Text))

Max Activating Token Index: 450

Text #10

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Max Activating Token Index: 526

Text #11

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Max Activating Token Index: 553

Text #12

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Data Index: 604681 (C4 (Web Text))

Max Activating Token Index: 784

Text #13

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Data Index: 1274878 (C4 (Web Text))

Max Activating Token Index: 825

Text #14

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Data Index: 710919 (C4 (Web Text))

Max Activating Token Index: 320

Text #15

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Max Activating Token Index: 517

Text #16

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Max Activating Token Index: 385

Text #17

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Data Index: 85098 (C4 (Web Text))

Max Activating Token Index: 510

Text #18

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Data Index: 1214737 (C4 (Web Text))

Max Activating Token Index: 383

Text #19

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 625072 (C4 (Web Text))

Max Activating Token Index: 884