Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1126 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.3280. Min Act: -0.0001

Data Index: 1636359 (Python Code)

Max Activating Token Index: 416

Text #1

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Max Act: 0.3226. Min Act: -0.0002

Data Index: 1611664 (Python Code)

Max Activating Token Index: 438

Text #2

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Data Index: 1407717 (Python Code)

Max Activating Token Index: 620

Text #3

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Max Act: 0.2980. Min Act: -0.0002

Data Index: 1482389 (Python Code)

Max Activating Token Index: 438

Text #4

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Max Act: 0.3085. Min Act: -0.0002

Data Index: 1628399 (Python Code)

Max Activating Token Index: 827

Text #5

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Max Act: 0.3008. Min Act: -0.0001

Data Index: 1587334 (Python Code)

Max Activating Token Index: 514

Text #6

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Data Index: 1519646 (Python Code)

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Text #7

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Data Index: 1552599 (Python Code)

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Text #8

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Data Index: 1509747 (Python Code)

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Text #9

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Data Index: 1458137 (Python Code)

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Text #10

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Data Index: 1444124 (Python Code)

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Text #11

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Data Index: 1541986 (Python Code)

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Text #12

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Data Index: 1466699 (Python Code)

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Text #13

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Data Index: 1475229 (Python Code)

Max Activating Token Index: 889

Text #14

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Data Index: 1627159 (Python Code)

Max Activating Token Index: 765

Text #15

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Data Index: 252007 (C4 (Web Text))

Max Activating Token Index: 960

Text #16

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Data Index: 1382554 (Python Code)

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Text #17

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Data Index: 1375448 (Python Code)

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Text #18

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Data Index: 1641812 (Python Code)

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Text #19

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Data Index: 1406910 (Python Code)

Max Activating Token Index: 318