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

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

Neuron 3836 in Layer 9

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

Text #0

Max Range: 1.3186. Min Range: -1.3186

Max Act: 1.3186. Min Act: -0.0000

Data Index: 1508578 (Python Code)

Max Activating Token Index: 26

Text #1

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Max Act: 1.2040. Min Act: -0.0000

Data Index: 1441670 (Python Code)

Max Activating Token Index: 230

Text #2

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Data Index: 1419724 (Python Code)

Max Activating Token Index: 19

Text #3

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Max Act: 1.1554. Min Act: -0.0000

Data Index: 1360403 (Python Code)

Max Activating Token Index: 19

Text #4

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Data Index: 1462096 (Python Code)

Max Activating Token Index: 338

Text #5

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Data Index: 1499322 (Python Code)

Max Activating Token Index: 77

Text #6

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Data Index: 1388906 (Python Code)

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Text #7

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Data Index: 1580423 (Python Code)

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Text #8

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Data Index: 1438012 (Python Code)

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Text #9

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Data Index: 1491434 (Python Code)

Max Activating Token Index: 84

Text #10

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Data Index: 441244 (C4 (Web Text))

Max Activating Token Index: 964

Text #11

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Max Activating Token Index: 190

Text #12

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Text #13

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Data Index: 926748 (C4 (Web Text))

Max Activating Token Index: 471

Text #14

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Data Index: 561900 (C4 (Web Text))

Max Activating Token Index: 864

Text #15

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Data Index: 1085076 (C4 (Web Text))

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Text #16

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Data Index: 1455589 (Python Code)

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Text #17

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Data Index: 1275131 (C4 (Web Text))

Max Activating Token Index: 541

Text #18

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Data Index: 1168101 (C4 (Web Text))

Max Activating Token Index: 907

Text #19

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Data Index: 1129616 (C4 (Web Text))

Max Activating Token Index: 887