Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1516 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0225. Min Act: -0.0003

Data Index: 464147 (C4 (Web Text))

Max Activating Token Index: 38

Text #1

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 924240 (C4 (Web Text))

Max Activating Token Index: 251

Text #2

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 192515 (C4 (Web Text))

Max Activating Token Index: 38

Text #3

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 593184 (C4 (Web Text))

Max Activating Token Index: 648

Text #4

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1134566 (C4 (Web Text))

Max Activating Token Index: 116

Text #5

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 189203 (C4 (Web Text))

Max Activating Token Index: 433

Text #6

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Max Activating Token Index: 242

Text #7

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Max Activating Token Index: 199

Text #8

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Max Activating Token Index: 925

Text #9

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Max Activating Token Index: 480

Text #10

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Max Activating Token Index: 34

Text #11

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Max Activating Token Index: 42

Text #12

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Max Activating Token Index: 117

Text #13

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Max Activating Token Index: 168

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: 440

Text #18

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Max Activating Token Index: 118

Text #19

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 757678 (C4 (Web Text))

Max Activating Token Index: 104