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

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

Neuron 427 in Layer 2

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

Text #0

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1484141 (Python Code)

Max Activating Token Index: 479

Text #1

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Max Act: 0.0283. Min Act: -0.0003

Data Index: 1422731 (Python Code)

Max Activating Token Index: 740

Text #2

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Max Act: 0.0275. Min Act: -0.0004

Data Index: 1644955 (Python Code)

Max Activating Token Index: 973

Text #3

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Max Act: 0.0272. Min Act: -0.0003

Data Index: 883861 (C4 (Web Text))

Max Activating Token Index: 253

Text #4

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1606453 (Python Code)

Max Activating Token Index: 882

Text #5

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Max Act: 0.0262. Min Act: -0.0003

Data Index: 1500122 (Python Code)

Max Activating Token Index: 762

Text #6

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Data Index: 1109692 (C4 (Web Text))

Max Activating Token Index: 921

Text #7

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Data Index: 1403473 (Python Code)

Max Activating Token Index: 328

Text #8

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Data Index: 1387748 (Python Code)

Max Activating Token Index: 131

Text #9

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Data Index: 1465307 (Python Code)

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Text #10

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Data Index: 1396994 (Python Code)

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Text #11

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Data Index: 2026 (C4 (Web Text))

Max Activating Token Index: 544

Text #12

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Data Index: 1572714 (Python Code)

Max Activating Token Index: 820

Text #13

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Data Index: 1563189 (Python Code)

Max Activating Token Index: 147

Text #14

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Data Index: 951570 (C4 (Web Text))

Max Activating Token Index: 824

Text #15

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Data Index: 1631179 (Python Code)

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Text #16

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Data Index: 49350 (C4 (Web Text))

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Text #17

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Data Index: 1556100 (Python Code)

Max Activating Token Index: 686

Text #18

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 1515514 (Python Code)

Max Activating Token Index: 794

Text #19

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 1431431 (Python Code)

Max Activating Token Index: 543