Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1645 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0991. Min Act: -0.0003

Data Index: 379054 (C4 (Web Text))

Max Activating Token Index: 323

Text #1

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Data Index: 1265542 (C4 (Web Text))

Max Activating Token Index: 618

Text #2

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Max Act: 0.1015. Min Act: -0.0003

Data Index: 32637 (C4 (Web Text))

Max Activating Token Index: 637

Text #3

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Max Act: 0.0946. Min Act: -0.0003

Data Index: 201736 (C4 (Web Text))

Max Activating Token Index: 187

Text #4

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Data Index: 572944 (C4 (Web Text))

Max Activating Token Index: 487

Text #5

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Max Act: 0.0968. Min Act: -0.0003

Data Index: 257753 (C4 (Web Text))

Max Activating Token Index: 168

Text #6

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Max Activating Token Index: 584

Text #7

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Max Activating Token Index: 320

Text #8

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Max Activating Token Index: 101

Text #9

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Data Index: 305360 (C4 (Web Text))

Max Activating Token Index: 471

Text #10

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Max Activating Token Index: 31

Text #11

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Data Index: 100410 (C4 (Web Text))

Max Activating Token Index: 458

Text #12

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Max Activating Token Index: 955

Text #13

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Data Index: 136672 (C4 (Web Text))

Max Activating Token Index: 584

Text #14

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Max Activating Token Index: 497

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 764

Text #19

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Data Index: 716035 (C4 (Web Text))

Max Activating Token Index: 271