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

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

Neuron 3357 in Layer 1

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

Text #0

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Max Act: 0.1372. Min Act: -0.0003

Data Index: 1613521 (Python Code)

Max Activating Token Index: 432

Text #1

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Max Act: 0.1312. Min Act: -0.0002

Data Index: 1626622 (Python Code)

Max Activating Token Index: 692

Text #2

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Max Act: 0.1253. Min Act: -0.0002

Data Index: 1450765 (Python Code)

Max Activating Token Index: 421

Text #3

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Max Act: 0.1242. Min Act: -0.0002

Data Index: 1451194 (Python Code)

Max Activating Token Index: 313

Text #4

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Max Act: 0.1245. Min Act: -0.0002

Data Index: 1533368 (Python Code)

Max Activating Token Index: 182

Text #5

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Max Act: 0.1225. Min Act: -0.0003

Data Index: 1589673 (Python Code)

Max Activating Token Index: 276

Text #6

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Data Index: 1388988 (Python Code)

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Text #7

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Data Index: 1417204 (Python Code)

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Text #8

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Data Index: 1392237 (Python Code)

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Text #9

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Data Index: 1536603 (Python Code)

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Text #10

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Data Index: 1630316 (Python Code)

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Text #11

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Data Index: 1454930 (Python Code)

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Text #12

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Data Index: 1435708 (Python Code)

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Text #13

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Data Index: 1373787 (Python Code)

Max Activating Token Index: 878

Text #14

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Data Index: 1576649 (Python Code)

Max Activating Token Index: 260

Text #15

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Data Index: 1445883 (Python Code)

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Text #16

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Data Index: 1400840 (Python Code)

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Text #17

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Data Index: 1413008 (Python Code)

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Text #18

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Data Index: 1445417 (Python Code)

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Text #19

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Max Act: 0.1169. Min Act: -0.0003

Data Index: 1361089 (Python Code)

Max Activating Token Index: 384