Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1950 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 75011 (C4 (Web Text))

Max Activating Token Index: 852

Text #1

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Max Activating Token Index: 884

Text #2

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Max Activating Token Index: 662

Text #3

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Max Act: 0.0128. Min Act: -0.0004

Data Index: 837155 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Data Index: 56633 (C4 (Web Text))

Max Activating Token Index: 595

Text #5

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Max Activating Token Index: 862

Text #6

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Max Activating Token Index: 196

Text #7

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Max Activating Token Index: 258

Text #8

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Max Activating Token Index: 986

Text #9

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Max Activating Token Index: 376

Text #10

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Max Activating Token Index: 910

Text #11

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Max Activating Token Index: 719

Text #12

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Max Activating Token Index: 417

Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 900

Text #18

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Text #19

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Data Index: 1163873 (C4 (Web Text))

Max Activating Token Index: 882