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

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

Neuron 40 in Layer 0

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

Text #0

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1478315 (Python Code)

Max Activating Token Index: 624

Text #1

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 1418840 (Python Code)

Max Activating Token Index: 969

Text #2

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1535724 (Python Code)

Max Activating Token Index: 83

Text #3

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Max Act: 0.0148. Min Act: -0.0003

Data Index: 1578288 (Python Code)

Max Activating Token Index: 328

Text #4

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Max Act: 0.0147. Min Act: -0.0003

Data Index: 1580961 (Python Code)

Max Activating Token Index: 66

Text #5

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 1650266 (Python Code)

Max Activating Token Index: 408

Text #6

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Data Index: 1598019 (Python Code)

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Text #7

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Data Index: 1525822 (Python Code)

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Text #8

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Data Index: 1527445 (Python Code)

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Text #9

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Data Index: 1372810 (Python Code)

Max Activating Token Index: 212

Text #10

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Data Index: 1599610 (Python Code)

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Text #11

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Data Index: 1549568 (Python Code)

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Text #12

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Data Index: 1361897 (Python Code)

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Text #13

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Data Index: 1532297 (Python Code)

Max Activating Token Index: 19

Text #14

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Data Index: 1548795 (Python Code)

Max Activating Token Index: 809

Text #15

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Data Index: 1582440 (Python Code)

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Text #16

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Data Index: 1595039 (Python Code)

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Text #17

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Data Index: 1450292 (Python Code)

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Text #18

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Data Index: 1495475 (Python Code)

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Text #19

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Max Act: 0.0132. Min Act: -0.0003

Data Index: 1411017 (Python Code)

Max Activating Token Index: 385