Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1168 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0161. Min Act: -0.0004

Data Index: 33974 (C4 (Web Text))

Max Activating Token Index: 389

Text #1

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 336821 (C4 (Web Text))

Max Activating Token Index: 135

Text #2

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 1060510 (C4 (Web Text))

Max Activating Token Index: 381

Text #3

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Max Act: 0.0134. Min Act: -0.0004

Data Index: 657948 (C4 (Web Text))

Max Activating Token Index: 15

Text #4

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Max Act: 0.0133. Min Act: -0.0003

Data Index: 787757 (C4 (Web Text))

Max Activating Token Index: 292

Text #5

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Data Index: 158838 (C4 (Web Text))

Max Activating Token Index: 282

Text #6

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Data Index: 309657 (C4 (Web Text))

Max Activating Token Index: 263

Text #7

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Max Activating Token Index: 17

Text #8

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Max Activating Token Index: 147

Text #9

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Data Index: 798515 (C4 (Web Text))

Max Activating Token Index: 277

Text #10

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Data Index: 397530 (C4 (Web Text))

Max Activating Token Index: 310

Text #11

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Max Activating Token Index: 70

Text #12

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Max Activating Token Index: 258

Text #13

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Data Index: 652885 (C4 (Web Text))

Max Activating Token Index: 405

Text #14

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Max Activating Token Index: 548

Text #15

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Max Activating Token Index: 50

Text #16

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Max Activating Token Index: 319

Text #17

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Max Activating Token Index: 477

Text #18

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Data Index: 903102 (C4 (Web Text))

Max Activating Token Index: 238

Text #19

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Max Act: 0.0122. Min Act: -0.0003

Data Index: 260078 (C4 (Web Text))

Max Activating Token Index: 269