Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 934 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 1040985 (C4 (Web Text))

Max Activating Token Index: 802

Text #1

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Data Index: 190540 (C4 (Web Text))

Max Activating Token Index: 602

Text #2

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Data Index: 743131 (C4 (Web Text))

Max Activating Token Index: 710

Text #3

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Max Act: 0.0307. Min Act: -0.0002

Data Index: 1237599 (C4 (Web Text))

Max Activating Token Index: 524

Text #4

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Data Index: 964565 (C4 (Web Text))

Max Activating Token Index: 713

Text #5

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Max Activating Token Index: 286

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 468

Text #10

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Text #11

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Max Activating Token Index: 438

Text #12

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Max Activating Token Index: 707

Text #13

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Max Activating Token Index: 955

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: 737

Text #18

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Text #19

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Data Index: 493214 (C4 (Web Text))

Max Activating Token Index: 214