Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1933 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 1460409 (Python Code)

Max Activating Token Index: 565

Text #1

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Data Index: 1442316 (Python Code)

Max Activating Token Index: 718

Text #2

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Data Index: 1516579 (Python Code)

Max Activating Token Index: 407

Text #3

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 1622524 (Python Code)

Max Activating Token Index: 281

Text #4

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Max Act: 0.0270. Min Act: -0.0003

Data Index: 1502507 (Python Code)

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Text #5

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Data Index: 1617237 (Python Code)

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Text #6

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Data Index: 1479539 (Python Code)

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Text #7

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Data Index: 1392106 (Python Code)

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Text #8

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Data Index: 1608956 (Python Code)

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Text #9

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Data Index: 1642677 (Python Code)

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Text #10

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Data Index: 1608950 (Python Code)

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Text #11

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Data Index: 1576327 (Python Code)

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Text #12

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Data Index: 1586025 (Python Code)

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Text #13

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Data Index: 1455599 (Python Code)

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Text #14

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Data Index: 1633372 (Python Code)

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Text #15

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Data Index: 1495514 (Python Code)

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Text #16

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Text #17

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Data Index: 1342104 (C4 (Web Text))

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Text #18

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Data Index: 1404496 (Python Code)

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Text #19

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Data Index: 1381760 (Python Code)

Max Activating Token Index: 552