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

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

Neuron 550 in Layer 3

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

Text #0

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Max Act: 0.1080. Min Act: -0.0001

Data Index: 708730 (C4 (Web Text))

Max Activating Token Index: 234

Text #1

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Max Act: 0.1189. Min Act: -0.0001

Data Index: 1085766 (C4 (Web Text))

Max Activating Token Index: 83

Text #2

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Max Act: 0.1105. Min Act: -0.0001

Data Index: 1098226 (C4 (Web Text))

Max Activating Token Index: 957

Text #3

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Max Act: 0.1057. Min Act: -0.0001

Data Index: 1205780 (C4 (Web Text))

Max Activating Token Index: 143

Text #4

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Data Index: 63579 (C4 (Web Text))

Max Activating Token Index: 1013

Text #5

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Data Index: 830025 (C4 (Web Text))

Max Activating Token Index: 106

Text #6

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Data Index: 49134 (C4 (Web Text))

Max Activating Token Index: 393

Text #7

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Max Activating Token Index: 145

Text #8

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Max Activating Token Index: 936

Text #9

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Max Activating Token Index: 770

Text #10

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Data Index: 1084091 (C4 (Web Text))

Max Activating Token Index: 443

Text #11

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Data Index: 861582 (C4 (Web Text))

Max Activating Token Index: 254

Text #12

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Data Index: 704975 (C4 (Web Text))

Max Activating Token Index: 65

Text #13

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Data Index: 1261303 (C4 (Web Text))

Max Activating Token Index: 158

Text #14

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Data Index: 280337 (C4 (Web Text))

Max Activating Token Index: 204

Text #15

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Text #16

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Text #17

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Data Index: 326552 (C4 (Web Text))

Max Activating Token Index: 234

Text #18

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Data Index: 764220 (C4 (Web Text))

Max Activating Token Index: 367

Text #19

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Data Index: 1331315 (C4 (Web Text))

Max Activating Token Index: 229