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

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

Neuron 1275 in Layer 0

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

Text #0

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Max Act: 0.0650. Min Act: -0.0004

Data Index: 1312020 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 502247 (C4 (Web Text))

Max Activating Token Index: 60

Text #2

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 1228310 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 117864 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 1460158 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 830028 (C4 (Web Text))

Max Activating Token Index: 885

Text #6

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Data Index: 616923 (C4 (Web Text))

Max Activating Token Index: 411

Text #7

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Max Activating Token Index: 885

Text #8

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Data Index: 483149 (C4 (Web Text))

Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 200

Text #10

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Data Index: 1138386 (C4 (Web Text))

Max Activating Token Index: 1023

Text #11

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Data Index: 948234 (C4 (Web Text))

Max Activating Token Index: 1023

Text #12

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Max Activating Token Index: 1023

Text #13

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Data Index: 898870 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Data Index: 131935 (C4 (Web Text))

Max Activating Token Index: 616

Text #15

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Max Activating Token Index: 1023

Text #16

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Max Activating Token Index: 818

Text #17

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Max Activating Token Index: 889

Text #18

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Data Index: 898003 (C4 (Web Text))

Max Activating Token Index: 876

Text #19

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Max Act: 0.0123. Min Act: -0.0003

Data Index: 248370 (C4 (Web Text))

Max Activating Token Index: 1023