Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3800 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0665. Min Act: -0.0002

Data Index: 1110467 (C4 (Web Text))

Max Activating Token Index: 617

Text #1

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Max Activating Token Index: 254

Text #2

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Max Act: 0.0514. Min Act: -0.0002

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Max Activating Token Index: 264

Text #3

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Max Act: 0.0536. Min Act: -0.0002

Data Index: 350578 (C4 (Web Text))

Max Activating Token Index: 841

Text #4

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Data Index: 274528 (C4 (Web Text))

Max Activating Token Index: 637

Text #5

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Max Activating Token Index: 395

Text #6

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Text #7

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Max Activating Token Index: 352

Text #8

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Max Activating Token Index: 568

Text #9

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Max Activating Token Index: 164

Text #10

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Max Activating Token Index: 453

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Max Activating Token Index: 633

Text #12

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Max Activating Token Index: 153

Text #13

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Max Activating Token Index: 198

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: 193

Text #18

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Text #19

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Data Index: 456220 (C4 (Web Text))

Max Activating Token Index: 480