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

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

Neuron 658 in Layer 1

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

Text #0

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 1045636 (C4 (Web Text))

Max Activating Token Index: 71

Text #1

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 881922 (C4 (Web Text))

Max Activating Token Index: 407

Text #2

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 216092 (C4 (Web Text))

Max Activating Token Index: 607

Text #3

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 716035 (C4 (Web Text))

Max Activating Token Index: 182

Text #4

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Max Act: 0.0374. Min Act: -0.0003

Data Index: 670166 (C4 (Web Text))

Max Activating Token Index: 281

Text #5

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Max Act: 0.0382. Min Act: -0.0003

Data Index: 484248 (C4 (Web Text))

Max Activating Token Index: 75

Text #6

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Max Activating Token Index: 406

Text #7

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Max Activating Token Index: 728

Text #8

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Max Activating Token Index: 733

Text #9

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Max Activating Token Index: 516

Text #10

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Max Activating Token Index: 658

Text #11

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Max Activating Token Index: 944

Text #12

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Max Activating Token Index: 379

Text #13

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Max Activating Token Index: 225

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: 947

Text #18

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Max Activating Token Index: 318

Text #19

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Data Index: 807024 (C4 (Web Text))

Max Activating Token Index: 401