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

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

Neuron 1166 in Layer 1

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

Text #0

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Max Act: 0.0660. Min Act: -0.0004

Data Index: 1037181 (C4 (Web Text))

Max Activating Token Index: 152

Text #1

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Max Act: 0.0689. Min Act: -0.0004

Data Index: 652316 (C4 (Web Text))

Max Activating Token Index: 178

Text #2

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Max Act: 0.0631. Min Act: -0.0004

Data Index: 299471 (C4 (Web Text))

Max Activating Token Index: 190

Text #3

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Max Act: 0.0623. Min Act: -0.0004

Data Index: 862026 (C4 (Web Text))

Max Activating Token Index: 175

Text #4

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Max Act: 0.0598. Min Act: -0.0004

Data Index: 364477 (C4 (Web Text))

Max Activating Token Index: 643

Text #5

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Max Act: 0.0617. Min Act: -0.0004

Data Index: 673677 (C4 (Web Text))

Max Activating Token Index: 242

Text #6

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Data Index: 905700 (C4 (Web Text))

Max Activating Token Index: 308

Text #7

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Data Index: 390746 (C4 (Web Text))

Max Activating Token Index: 335

Text #8

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Data Index: 802741 (C4 (Web Text))

Max Activating Token Index: 315

Text #9

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Data Index: 1114777 (C4 (Web Text))

Max Activating Token Index: 315

Text #10

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Data Index: 14049 (C4 (Web Text))

Max Activating Token Index: 121

Text #11

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Data Index: 1324083 (C4 (Web Text))

Max Activating Token Index: 190

Text #12

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Data Index: 546895 (C4 (Web Text))

Max Activating Token Index: 190

Text #13

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Max Act: 0.0612. Min Act: -0.0004

Data Index: 55078 (C4 (Web Text))

Max Activating Token Index: 185

Text #14

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Data Index: 1250899 (C4 (Web Text))

Max Activating Token Index: 100

Text #15

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Max Activating Token Index: 272

Text #16

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Max Activating Token Index: 97

Text #17

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Max Activating Token Index: 223

Text #18

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Max Act: 0.0635. Min Act: -0.0004

Data Index: 640772 (C4 (Web Text))

Max Activating Token Index: 96

Text #19

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Data Index: 941978 (C4 (Web Text))

Max Activating Token Index: 250