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

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

Neuron 596 in Layer 0

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

Text #0

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Max Act: 0.0217. Min Act: -0.0004

Data Index: 844666 (C4 (Web Text))

Max Activating Token Index: 59

Text #1

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Data Index: 343990 (C4 (Web Text))

Max Activating Token Index: 41

Text #2

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Max Act: 0.0199. Min Act: -0.0004

Data Index: 257449 (C4 (Web Text))

Max Activating Token Index: 678

Text #3

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Max Act: 0.0198. Min Act: -0.0004

Data Index: 606724 (C4 (Web Text))

Max Activating Token Index: 3

Text #4

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Max Act: 0.0198. Min Act: -0.0004

Data Index: 956827 (C4 (Web Text))

Max Activating Token Index: 553

Text #5

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Max Act: 0.0198. Min Act: -0.0004

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Max Activating Token Index: 6

Text #6

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Max Activating Token Index: 161

Text #7

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Text #9

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Max Activating Token Index: 409

Text #10

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Max Activating Token Index: 18

Text #11

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Max Activating Token Index: 323

Text #12

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Max Activating Token Index: 316

Text #13

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Max Activating Token Index: 49

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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Max Activating Token Index: 41

Text #19

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Data Index: 987261 (C4 (Web Text))

Max Activating Token Index: 309