Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3780 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0270. Min Act: -0.0003

Data Index: 1511652 (Python Code)

Max Activating Token Index: 609

Text #1

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1390243 (Python Code)

Max Activating Token Index: 600

Text #2

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 1513466 (Python Code)

Max Activating Token Index: 75

Text #3

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 1465653 (Python Code)

Max Activating Token Index: 538

Text #4

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Max Act: 0.0212. Min Act: -0.0003

Data Index: 1507129 (Python Code)

Max Activating Token Index: 441

Text #5

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 1402180 (Python Code)

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Text #6

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Max Act: 0.0202. Min Act: -0.0003

Data Index: 1475734 (Python Code)

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Text #7

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Data Index: 1471999 (Python Code)

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Text #8

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Data Index: 1464465 (Python Code)

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Text #9

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Data Index: 1599101 (Python Code)

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Text #10

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Data Index: 1547835 (Python Code)

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Text #11

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Data Index: 1589367 (Python Code)

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Text #12

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Data Index: 1439464 (Python Code)

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Text #13

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Data Index: 1645385 (Python Code)

Max Activating Token Index: 462

Text #14

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Data Index: 1604435 (Python Code)

Max Activating Token Index: 493

Text #15

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Data Index: 1595025 (Python Code)

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Text #16

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Data Index: 1645666 (Python Code)

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Text #17

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Data Index: 1368109 (Python Code)

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Text #18

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Data Index: 1475665 (Python Code)

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Text #19

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 1571756 (Python Code)

Max Activating Token Index: 598