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

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

Neuron 960 in Layer 2

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

Text #0

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 359619 (C4 (Web Text))

Max Activating Token Index: 795

Text #1

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Max Activating Token Index: 283

Text #2

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Max Act: 0.0270. Min Act: -0.0002

Data Index: 516275 (C4 (Web Text))

Max Activating Token Index: 482

Text #3

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Max Act: 0.0268. Min Act: -0.0002

Data Index: 691262 (C4 (Web Text))

Max Activating Token Index: 194

Text #4

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Data Index: 13658 (C4 (Web Text))

Max Activating Token Index: 646

Text #5

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Max Activating Token Index: 303

Text #6

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Text #7

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Max Activating Token Index: 344

Text #9

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Text #10

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Max Activating Token Index: 716

Text #11

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Max Activating Token Index: 849

Text #12

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Max Activating Token Index: 179

Text #13

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Max Activating Token Index: 949

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 377

Text #17

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Text #18

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Text #19

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Data Index: 407817 (C4 (Web Text))

Max Activating Token Index: 970