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

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

Neuron 1665 in Layer 1

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

Text #0

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Max Act: 0.0290. Min Act: -0.0006

Data Index: 1489746 (Python Code)

Max Activating Token Index: 286

Text #1

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Max Act: 0.0288. Min Act: -0.0006

Data Index: 1567975 (Python Code)

Max Activating Token Index: 391

Text #2

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Max Act: 0.0280. Min Act: -0.0006

Data Index: 1584036 (Python Code)

Max Activating Token Index: 119

Text #3

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Max Act: 0.0263. Min Act: -0.0006

Data Index: 1571276 (Python Code)

Max Activating Token Index: 547

Text #4

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1529684 (Python Code)

Max Activating Token Index: 787

Text #5

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Max Act: 0.0267. Min Act: -0.0006

Data Index: 1506147 (Python Code)

Max Activating Token Index: 933

Text #6

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Data Index: 1594030 (Python Code)

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Text #7

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Data Index: 1590421 (Python Code)

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Text #8

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Data Index: 1435756 (Python Code)

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Text #9

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Data Index: 1380897 (Python Code)

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Text #10

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Data Index: 1465040 (Python Code)

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Text #11

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Data Index: 1643282 (Python Code)

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Text #12

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Data Index: 1477995 (Python Code)

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Text #13

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Data Index: 1518745 (Python Code)

Max Activating Token Index: 287

Text #14

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Data Index: 1420634 (Python Code)

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Text #15

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Data Index: 1376338 (Python Code)

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Text #16

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Data Index: 1629347 (Python Code)

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Text #17

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Data Index: 1614351 (Python Code)

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Text #18

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Data Index: 1616288 (Python Code)

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Text #19

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Data Index: 1346178 (C4 (Web Text))

Max Activating Token Index: 874