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

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

Neuron 3878 in Layer 1

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

Text #0

Max Range: 0.0253. Min Range: -0.0253

Max Act: 0.0253. Min Act: -0.0002

Data Index: 1645796 (Python Code)

Max Activating Token Index: 271

Text #1

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Max Act: 0.0231. Min Act: -0.0002

Data Index: 1601845 (Python Code)

Max Activating Token Index: 212

Text #2

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 1505717 (Python Code)

Max Activating Token Index: 392

Text #3

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 1485311 (Python Code)

Max Activating Token Index: 765

Text #4

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Max Act: 0.0221. Min Act: -0.0002

Data Index: 1554743 (Python Code)

Max Activating Token Index: 472

Text #5

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Max Act: 0.0229. Min Act: -0.0003

Data Index: 1469304 (Python Code)

Max Activating Token Index: 703

Text #6

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Data Index: 1478118 (Python Code)

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Text #7

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Data Index: 776098 (C4 (Web Text))

Max Activating Token Index: 692

Text #8

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Data Index: 1261311 (C4 (Web Text))

Max Activating Token Index: 234

Text #9

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Data Index: 1088456 (C4 (Web Text))

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Text #10

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Data Index: 14641 (C4 (Web Text))

Max Activating Token Index: 112

Text #11

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Data Index: 1430436 (Python Code)

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Text #12

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Data Index: 1398475 (Python Code)

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Text #13

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Data Index: 1516199 (Python Code)

Max Activating Token Index: 399

Text #14

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Data Index: 1376315 (Python Code)

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Text #15

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Data Index: 1636299 (Python Code)

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Text #16

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Data Index: 1576439 (Python Code)

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Text #17

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Data Index: 278488 (C4 (Web Text))

Max Activating Token Index: 464

Text #18

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Data Index: 1410448 (Python Code)

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Text #19

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 1487747 (Python Code)

Max Activating Token Index: 160