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

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

Neuron 3025 in Layer 1

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

Text #0

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 746743 (C4 (Web Text))

Max Activating Token Index: 401

Text #1

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 633753 (C4 (Web Text))

Max Activating Token Index: 236

Text #2

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Max Act: 0.0140. Min Act: -0.0003

Data Index: 883119 (C4 (Web Text))

Max Activating Token Index: 325

Text #3

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Max Act: 0.0132. Min Act: -0.0003

Data Index: 84850 (C4 (Web Text))

Max Activating Token Index: 129

Text #4

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Max Act: 0.0132. Min Act: -0.0003

Data Index: 1124080 (C4 (Web Text))

Max Activating Token Index: 162

Text #5

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Data Index: 254581 (C4 (Web Text))

Max Activating Token Index: 701

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 673

Text #9

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Max Activating Token Index: 271

Text #10

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Max Activating Token Index: 402

Text #11

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Max Activating Token Index: 43

Text #12

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Max Activating Token Index: 279

Text #13

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Data Index: 334202 (C4 (Web Text))

Max Activating Token Index: 395

Text #14

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Max Activating Token Index: 413

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 339

Text #18

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Max Activating Token Index: 407

Text #19

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Data Index: 325120 (C4 (Web Text))

Max Activating Token Index: 243