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

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

Neuron 1937 in Layer 0

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

Text #0

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Max Act: 0.0170. Min Act: -0.0003

Data Index: 1361781 (Python Code)

Max Activating Token Index: 1013

Text #1

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Max Act: 0.0149. Min Act: -0.0003

Data Index: 1477458 (Python Code)

Max Activating Token Index: 1022

Text #2

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 1460659 (Python Code)

Max Activating Token Index: 1000

Text #3

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Max Act: 0.0140. Min Act: -0.0003

Data Index: 1530004 (Python Code)

Max Activating Token Index: 1016

Text #4

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 1504908 (Python Code)

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Text #5

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Max Act: 0.0137. Min Act: -0.0003

Data Index: 1419942 (Python Code)

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Text #6

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Data Index: 1375332 (Python Code)

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Text #7

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Data Index: 229026 (C4 (Web Text))

Max Activating Token Index: 1014

Text #8

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Data Index: 1436878 (Python Code)

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Data Index: 1495403 (Python Code)

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Text #10

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Data Index: 1506656 (Python Code)

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Data Index: 1643842 (Python Code)

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Text #12

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Data Index: 1459915 (Python Code)

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Text #13

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Data Index: 1516210 (Python Code)

Max Activating Token Index: 1010

Text #14

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Data Index: 1561195 (Python Code)

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Text #15

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Data Index: 1632466 (Python Code)

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Text #16

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Data Index: 1559417 (Python Code)

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Text #17

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Data Index: 1481871 (Python Code)

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Text #18

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Data Index: 1571379 (Python Code)

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Text #19

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Data Index: 1546650 (Python Code)

Max Activating Token Index: 1015