Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1015 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0236. Min Act: -0.0001

Data Index: 1477752 (Python Code)

Max Activating Token Index: 425

Text #1

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Max Act: 0.0241. Min Act: -0.0001

Data Index: 1468539 (Python Code)

Max Activating Token Index: 672

Text #2

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Max Act: 0.0221. Min Act: -0.0001

Data Index: 1400211 (Python Code)

Max Activating Token Index: 471

Text #3

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Max Act: 0.0226. Min Act: -0.0001

Data Index: 1630854 (Python Code)

Max Activating Token Index: 477

Text #4

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Max Act: 0.0225. Min Act: -0.0001

Data Index: 1646435 (Python Code)

Max Activating Token Index: 958

Text #5

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Max Act: 0.0227. Min Act: -0.0001

Data Index: 1621606 (Python Code)

Max Activating Token Index: 433

Text #6

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Data Index: 1631285 (Python Code)

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Text #7

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Data Index: 1553786 (Python Code)

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Text #8

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Data Index: 1637447 (Python Code)

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Text #9

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Data Index: 1374889 (Python Code)

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Text #10

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Data Index: 1602756 (Python Code)

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Text #11

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Data Index: 1520694 (Python Code)

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Text #12

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Data Index: 1373764 (Python Code)

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Text #13

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Data Index: 1392655 (Python Code)

Max Activating Token Index: 527

Text #14

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Data Index: 1545471 (Python Code)

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Text #15

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Data Index: 1573420 (Python Code)

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Text #16

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Data Index: 1453041 (Python Code)

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Text #17

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Data Index: 8690 (C4 (Web Text))

Max Activating Token Index: 651

Text #18

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Data Index: 1432296 (Python Code)

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Text #19

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Data Index: 1515977 (Python Code)

Max Activating Token Index: 859