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

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

Neuron 2480 in Layer 0

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

Text #0

Max Range: 0.0070. Min Range: -0.0070

Max Act: 0.0070. Min Act: -0.0003

Data Index: 590902 (C4 (Web Text))

Max Activating Token Index: 256

Text #1

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Data Index: 109918 (C4 (Web Text))

Max Activating Token Index: 217

Text #2

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Max Act: 0.0066. Min Act: -0.0003

Data Index: 377116 (C4 (Web Text))

Max Activating Token Index: 229

Text #3

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Max Act: 0.0063. Min Act: -0.0003

Data Index: 1252738 (C4 (Web Text))

Max Activating Token Index: 255

Text #4

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Max Act: 0.0064. Min Act: -0.0003

Data Index: 348524 (C4 (Web Text))

Max Activating Token Index: 81

Text #5

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Max Act: 0.0063. Min Act: -0.0004

Data Index: 793272 (C4 (Web Text))

Max Activating Token Index: 167

Text #6

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Data Index: 159421 (C4 (Web Text))

Max Activating Token Index: 228

Text #7

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Max Activating Token Index: 151

Text #8

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Max Activating Token Index: 134

Text #9

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Max Activating Token Index: 66

Text #10

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Max Activating Token Index: 255

Text #11

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Max Activating Token Index: 264

Text #12

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Data Index: 1319674 (C4 (Web Text))

Max Activating Token Index: 325

Text #13

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Data Index: 1007411 (C4 (Web Text))

Max Activating Token Index: 182

Text #14

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Data Index: 1082013 (C4 (Web Text))

Max Activating Token Index: 60

Text #15

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Text #16

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Text #17

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Data Index: 1243132 (C4 (Web Text))

Max Activating Token Index: 336

Text #18

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Data Index: 477394 (C4 (Web Text))

Max Activating Token Index: 144

Text #19

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Data Index: 1257848 (C4 (Web Text))

Max Activating Token Index: 298