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

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

Neuron 1512 in Layer 1

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

Text #0

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Max Act: 0.0573. Min Act: -0.0003

Data Index: 780643 (C4 (Web Text))

Max Activating Token Index: 783

Text #1

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Max Activating Token Index: 528

Text #2

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Data Index: 753739 (C4 (Web Text))

Max Activating Token Index: 951

Text #3

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Max Act: 0.0523. Min Act: -0.0003

Data Index: 286523 (C4 (Web Text))

Max Activating Token Index: 462

Text #4

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Data Index: 840545 (C4 (Web Text))

Max Activating Token Index: 547

Text #5

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Max Activating Token Index: 752

Text #6

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Max Activating Token Index: 995

Text #7

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Max Activating Token Index: 693

Text #8

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Max Activating Token Index: 800

Text #9

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Max Activating Token Index: 893

Text #10

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Max Activating Token Index: 912

Text #11

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Max Activating Token Index: 62

Text #12

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Max Activating Token Index: 519

Text #13

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Max Activating Token Index: 582

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 174

Text #19

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Data Index: 402193 (C4 (Web Text))

Max Activating Token Index: 410