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

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

Neuron 690 in Layer 1

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

Text #0

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Max Act: 0.0552. Min Act: -0.0003

Data Index: 561805 (C4 (Web Text))

Max Activating Token Index: 482

Text #1

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Max Act: 0.0495. Min Act: -0.0003

Data Index: 1300903 (C4 (Web Text))

Max Activating Token Index: 380

Text #2

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Max Act: 0.0486. Min Act: -0.0003

Data Index: 1314047 (C4 (Web Text))

Max Activating Token Index: 810

Text #3

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Max Act: 0.0464. Min Act: -0.0003

Data Index: 841732 (C4 (Web Text))

Max Activating Token Index: 630

Text #4

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Max Act: 0.0465. Min Act: -0.0003

Data Index: 273819 (C4 (Web Text))

Max Activating Token Index: 18

Text #5

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Max Activating Token Index: 731

Text #6

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Max Activating Token Index: 79

Text #7

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Text #8

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Max Activating Token Index: 336

Text #9

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Max Activating Token Index: 141

Text #10

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Data Index: 511512 (C4 (Web Text))

Max Activating Token Index: 416

Text #11

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Max Activating Token Index: 52

Text #12

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Max Activating Token Index: 73

Text #13

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Data Index: 336956 (C4 (Web Text))

Max Activating Token Index: 481

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 350

Text #17

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Max Activating Token Index: 349

Text #18

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Data Index: 137823 (C4 (Web Text))

Max Activating Token Index: 538

Text #19

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Data Index: 1182479 (C4 (Web Text))

Max Activating Token Index: 29