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

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

Neuron 499 in Layer 3

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

Text #0

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Max Act: 0.2192. Min Act: -0.0001

Data Index: 90309 (C4 (Web Text))

Max Activating Token Index: 500

Text #1

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Data Index: 1291621 (C4 (Web Text))

Max Activating Token Index: 343

Text #2

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Max Act: 0.1972. Min Act: -0.0001

Data Index: 27864 (C4 (Web Text))

Max Activating Token Index: 566

Text #3

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Max Act: 0.1891. Min Act: -0.0001

Data Index: 1071455 (C4 (Web Text))

Max Activating Token Index: 950

Text #4

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Data Index: 329871 (C4 (Web Text))

Max Activating Token Index: 106

Text #5

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Data Index: 989887 (C4 (Web Text))

Max Activating Token Index: 352

Text #6

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Max Activating Token Index: 247

Text #7

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Max Activating Token Index: 539

Text #8

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Data Index: 436362 (C4 (Web Text))

Max Activating Token Index: 36

Text #9

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Max Activating Token Index: 872

Text #10

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Max Activating Token Index: 390

Text #11

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Data Index: 178897 (C4 (Web Text))

Max Activating Token Index: 159

Text #12

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Data Index: 372888 (C4 (Web Text))

Max Activating Token Index: 460

Text #13

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Data Index: 1309892 (C4 (Web Text))

Max Activating Token Index: 255

Text #14

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Max Activating Token Index: 443

Text #15

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Text #16

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Text #17

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Data Index: 82333 (C4 (Web Text))

Max Activating Token Index: 459

Text #18

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Max Activating Token Index: 873

Text #19

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Data Index: 150581 (C4 (Web Text))

Max Activating Token Index: 64