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

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

Neuron 2088 in Layer 2

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

Text #0

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Max Act: 0.0454. Min Act: -0.0002

Data Index: 384120 (C4 (Web Text))

Max Activating Token Index: 646

Text #1

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Max Activating Token Index: 169

Text #2

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Max Act: 0.0425. Min Act: -0.0002

Data Index: 330520 (C4 (Web Text))

Max Activating Token Index: 207

Text #3

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Data Index: 652979 (C4 (Web Text))

Max Activating Token Index: 513

Text #4

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Data Index: 28133 (C4 (Web Text))

Max Activating Token Index: 407

Text #5

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Max Activating Token Index: 237

Text #6

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Max Activating Token Index: 252

Text #7

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Text #8

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Max Activating Token Index: 387

Text #9

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Max Activating Token Index: 478

Text #10

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Max Activating Token Index: 234

Text #11

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Max Activating Token Index: 891

Text #12

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Max Activating Token Index: 108

Text #13

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Max Activating Token Index: 356

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: 485

Text #18

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Max Activating Token Index: 501

Text #19

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Data Index: 282940 (C4 (Web Text))

Max Activating Token Index: 329