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

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

Neuron 2889 in Layer 9

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

Text #0

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Max Act: 0.7182. Min Act: -0.0000

Data Index: 456400 (C4 (Web Text))

Max Activating Token Index: 656

Text #1

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Max Activating Token Index: 186

Text #2

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Max Activating Token Index: 386

Text #3

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Data Index: 1448672 (Python Code)

Max Activating Token Index: 477

Text #4

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Data Index: 597424 (C4 (Web Text))

Max Activating Token Index: 306

Text #5

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Text #6

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Text #7

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Text #9

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Max Activating Token Index: 576

Text #10

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Text #11

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Max Activating Token Index: 210

Text #12

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Max Activating Token Index: 236

Text #13

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Max Activating Token Index: 156

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: 900

Text #18

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Data Index: 9398 (C4 (Web Text))

Max Activating Token Index: 341

Text #19

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Data Index: 775618 (C4 (Web Text))

Max Activating Token Index: 384