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

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

Neuron 2526 in Layer 5

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

Text #0

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Max Act: 0.0493. Min Act: -0.0000

Data Index: 1462959 (Python Code)

Max Activating Token Index: 428

Text #1

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Max Act: 0.0465. Min Act: -0.0000

Data Index: 393312 (C4 (Web Text))

Max Activating Token Index: 180

Text #2

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Max Act: 0.0443. Min Act: -0.0000

Data Index: 615710 (C4 (Web Text))

Max Activating Token Index: 789

Text #3

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Max Act: 0.0384. Min Act: -0.0000

Data Index: 1606768 (Python Code)

Max Activating Token Index: 141

Text #4

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Max Act: 0.0385. Min Act: -0.0000

Data Index: 79266 (C4 (Web Text))

Max Activating Token Index: 361

Text #5

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Data Index: 1578172 (Python Code)

Max Activating Token Index: 795

Text #6

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Data Index: 1079167 (C4 (Web Text))

Max Activating Token Index: 869

Text #7

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Data Index: 1467167 (Python Code)

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Text #8

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Data Index: 1587308 (Python Code)

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Text #9

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Data Index: 1359792 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Data Index: 1450528 (Python Code)

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Text #11

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Max Activating Token Index: 48

Text #12

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Text #13

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Data Index: 1640740 (Python Code)

Max Activating Token Index: 583

Text #14

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Data Index: 1033203 (C4 (Web Text))

Max Activating Token Index: 492

Text #15

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Data Index: 1408555 (Python Code)

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Text #16

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Text #17

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Data Index: 1361901 (Python Code)

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Text #18

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Data Index: 1647285 (Python Code)

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Text #19

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Max Act: 0.0347. Min Act: -0.0000

Data Index: 544108 (C4 (Web Text))

Max Activating Token Index: 728