Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 246 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0487. Min Act: -0.0002

Data Index: 85078 (C4 (Web Text))

Max Activating Token Index: 768

Text #1

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Data Index: 188204 (C4 (Web Text))

Max Activating Token Index: 935

Text #2

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 681230 (C4 (Web Text))

Max Activating Token Index: 397

Text #3

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Max Act: 0.0428. Min Act: -0.0003

Data Index: 168890 (C4 (Web Text))

Max Activating Token Index: 706

Text #4

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Data Index: 651248 (C4 (Web Text))

Max Activating Token Index: 73

Text #5

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Max Activating Token Index: 891

Text #6

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Max Activating Token Index: 540

Text #7

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Max Activating Token Index: 388

Text #8

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Max Activating Token Index: 823

Text #9

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Max Activating Token Index: 482

Text #10

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Max Activating Token Index: 401

Text #11

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Max Activating Token Index: 350

Text #12

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Max Activating Token Index: 1014

Text #13

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Max Activating Token Index: 817

Text #14

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Max Activating Token Index: 1013

Text #15

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Text #16

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Max Activating Token Index: 242

Text #17

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Max Activating Token Index: 638

Text #18

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Max Activating Token Index: 222

Text #19

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Data Index: 675084 (C4 (Web Text))

Max Activating Token Index: 879