Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 827 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0164. Min Range: -0.0164

Max Act: 0.0161. Min Act: -0.0002

Data Index: 1495500 (Python Code)

Max Activating Token Index: 987

Text #1

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1454729 (Python Code)

Max Activating Token Index: 265

Text #2

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Max Act: 0.0160. Min Act: -0.0002

Data Index: 1391642 (Python Code)

Max Activating Token Index: 650

Text #3

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 1384667 (Python Code)

Max Activating Token Index: 161

Text #4

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 1460858 (Python Code)

Max Activating Token Index: 596

Text #5

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Max Act: 0.0158. Min Act: -0.0002

Data Index: 1471076 (Python Code)

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Text #6

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Data Index: 1584615 (Python Code)

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Text #7

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Data Index: 1572428 (Python Code)

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Text #8

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Data Index: 1447498 (Python Code)

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Text #9

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Data Index: 1377284 (Python Code)

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Text #10

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Data Index: 1627201 (Python Code)

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Text #11

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Data Index: 1490894 (Python Code)

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Text #12

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Data Index: 1638173 (Python Code)

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Text #13

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Data Index: 1395963 (Python Code)

Max Activating Token Index: 236

Text #14

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Data Index: 1428494 (Python Code)

Max Activating Token Index: 509

Text #15

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Data Index: 1389520 (Python Code)

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Text #16

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Data Index: 1486957 (Python Code)

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Text #17

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Data Index: 1599201 (Python Code)

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Text #18

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Data Index: 1390874 (Python Code)

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Text #19

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 1532684 (Python Code)

Max Activating Token Index: 269