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

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

Neuron 1342 in Layer 1

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

Text #0

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Max Act: 0.0624. Min Act: -0.0003

Data Index: 1586543 (Python Code)

Max Activating Token Index: 631

Text #1

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Max Act: 0.0662. Min Act: -0.0003

Data Index: 1064456 (C4 (Web Text))

Max Activating Token Index: 97

Text #2

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Max Act: 0.0603. Min Act: -0.0003

Data Index: 894383 (C4 (Web Text))

Max Activating Token Index: 306

Text #3

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Max Act: 0.0593. Min Act: -0.0003

Data Index: 484520 (C4 (Web Text))

Max Activating Token Index: 484

Text #4

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Max Act: 0.0599. Min Act: -0.0003

Data Index: 1130494 (C4 (Web Text))

Max Activating Token Index: 499

Text #5

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Data Index: 1635376 (Python Code)

Max Activating Token Index: 564

Text #6

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Max Activating Token Index: 143

Text #7

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Max Activating Token Index: 457

Text #8

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Max Activating Token Index: 371

Text #9

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Max Activating Token Index: 686

Text #10

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Max Activating Token Index: 648

Text #11

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Max Activating Token Index: 488

Text #12

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Max Activating Token Index: 1022

Text #13

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Data Index: 832062 (C4 (Web Text))

Max Activating Token Index: 260

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: 413

Text #18

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Data Index: 131617 (C4 (Web Text))

Max Activating Token Index: 705

Text #19

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Data Index: 1244566 (C4 (Web Text))

Max Activating Token Index: 731