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

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

Neuron 1336 in Layer 1

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

Text #0

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Max Act: 0.0465. Min Act: -0.0003

Data Index: 1051791 (C4 (Web Text))

Max Activating Token Index: 903

Text #1

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Max Activating Token Index: 341

Text #2

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Max Activating Token Index: 159

Text #3

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 138463 (C4 (Web Text))

Max Activating Token Index: 203

Text #4

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Max Activating Token Index: 330

Text #5

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Max Activating Token Index: 258

Text #6

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Text #7

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Text #10

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Text #12

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Text #13

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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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Text #19

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Data Index: 265494 (C4 (Web Text))

Max Activating Token Index: 564