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

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

Neuron 1424 in Layer 1

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

Text #0

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Max Act: 0.0224. Min Act: -0.0006

Data Index: 1630402 (Python Code)

Max Activating Token Index: 630

Text #1

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Max Act: 0.0223. Min Act: -0.0006

Data Index: 1556139 (Python Code)

Max Activating Token Index: 589

Text #2

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Max Act: 0.0212. Min Act: -0.0006

Data Index: 1386992 (Python Code)

Max Activating Token Index: 335

Text #3

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Max Act: 0.0209. Min Act: -0.0006

Data Index: 1560378 (Python Code)

Max Activating Token Index: 531

Text #4

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Max Act: 0.0205. Min Act: -0.0006

Data Index: 1446467 (Python Code)

Max Activating Token Index: 684

Text #5

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Max Act: 0.0210. Min Act: -0.0006

Data Index: 1470276 (Python Code)

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Text #6

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Data Index: 1503532 (Python Code)

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Text #7

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Data Index: 1372378 (Python Code)

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Text #8

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Data Index: 1510564 (Python Code)

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Text #9

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Data Index: 1584487 (Python Code)

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Text #10

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Data Index: 1493681 (Python Code)

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Data Index: 1648373 (Python Code)

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Text #12

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Data Index: 1536987 (Python Code)

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Text #13

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Data Index: 1441064 (Python Code)

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Text #14

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Data Index: 1521592 (Python Code)

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Text #15

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Data Index: 1416603 (Python Code)

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Text #16

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Data Index: 1628093 (Python Code)

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Text #17

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Data Index: 1395508 (Python Code)

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Text #18

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Data Index: 1458779 (Python Code)

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Text #19

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Data Index: 1603320 (Python Code)

Max Activating Token Index: 521