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

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

Neuron 1292 in Layer 9

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

Text #0

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Max Act: 0.0440. Min Act: -0.0000

Data Index: 575380 (C4 (Web Text))

Max Activating Token Index: 980

Text #1

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Max Activating Token Index: 783

Text #2

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Max Activating Token Index: 897

Text #3

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Data Index: 555758 (C4 (Web Text))

Max Activating Token Index: 478

Text #4

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Data Index: 1359178 (C4 (Web Text))

Max Activating Token Index: 529

Text #5

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Max Activating Token Index: 560

Text #6

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Text #7

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Max Activating Token Index: 476

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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: 330957 (C4 (Web Text))

Max Activating Token Index: 932