Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1099 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 1368941 (Python Code)

Max Activating Token Index: 63

Text #1

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 1441386 (Python Code)

Max Activating Token Index: 719

Text #2

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1608490 (Python Code)

Max Activating Token Index: 472

Text #3

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1408667 (Python Code)

Max Activating Token Index: 933

Text #4

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 1389331 (Python Code)

Max Activating Token Index: 642

Text #5

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 1390787 (Python Code)

Max Activating Token Index: 497

Text #6

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Data Index: 1613270 (Python Code)

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Text #7

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Data Index: 1415347 (Python Code)

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Text #8

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Data Index: 1385480 (Python Code)

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Text #9

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Data Index: 1401418 (Python Code)

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Text #10

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Data Index: 1399834 (Python Code)

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Text #11

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Data Index: 1605002 (Python Code)

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Text #12

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Data Index: 1604243 (Python Code)

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Text #13

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Data Index: 1619287 (Python Code)

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Text #14

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Data Index: 1467905 (Python Code)

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Text #15

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Data Index: 1446719 (Python Code)

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Text #16

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Data Index: 1637919 (Python Code)

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Text #17

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Data Index: 1472182 (Python Code)

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Text #18

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Data Index: 1576957 (Python Code)

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Text #19

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Data Index: 1533782 (Python Code)

Max Activating Token Index: 282