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

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

Neuron 2367 in Layer 1

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

Text #0

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Max Act: 0.0171. Min Act: -0.0004

Data Index: 509887 (C4 (Web Text))

Max Activating Token Index: 101

Text #1

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Max Act: 0.0154. Min Act: -0.0004

Data Index: 582121 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Max Act: 0.0142. Min Act: -0.0004

Data Index: 600004 (C4 (Web Text))

Max Activating Token Index: 332

Text #3

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 1026068 (C4 (Web Text))

Max Activating Token Index: 383

Text #4

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 397446 (C4 (Web Text))

Max Activating Token Index: 158

Text #5

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Data Index: 477075 (C4 (Web Text))

Max Activating Token Index: 994

Text #6

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Max Activating Token Index: 1000

Text #7

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Text #8

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Data Index: 158120 (C4 (Web Text))

Max Activating Token Index: 654

Text #9

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Max Activating Token Index: 689

Text #10

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Data Index: 1401845 (Python Code)

Max Activating Token Index: 613

Text #11

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Data Index: 1171429 (C4 (Web Text))

Max Activating Token Index: 197

Text #12

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Max Activating Token Index: 687

Text #13

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Data Index: 974545 (C4 (Web Text))

Max Activating Token Index: 702

Text #14

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Max Activating Token Index: 463

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1027737 (C4 (Web Text))

Max Activating Token Index: 768

Text #19

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Max Act: 0.0137. Min Act: -0.0004

Data Index: 1276556 (C4 (Web Text))

Max Activating Token Index: 147