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

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

Neuron 2548 in Layer 1

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

Text #0

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Max Act: 0.0578. Min Act: -0.0004

Data Index: 819410 (C4 (Web Text))

Max Activating Token Index: 485

Text #1

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Data Index: 241424 (C4 (Web Text))

Max Activating Token Index: 458

Text #2

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Max Act: 0.0489. Min Act: -0.0004

Data Index: 728094 (C4 (Web Text))

Max Activating Token Index: 323

Text #3

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Max Act: 0.0530. Min Act: -0.0004

Data Index: 410019 (C4 (Web Text))

Max Activating Token Index: 354

Text #4

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Max Act: 0.0504. Min Act: -0.0004

Data Index: 1333271 (C4 (Web Text))

Max Activating Token Index: 480

Text #5

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Data Index: 993374 (C4 (Web Text))

Max Activating Token Index: 645

Text #6

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Data Index: 445277 (C4 (Web Text))

Max Activating Token Index: 770

Text #7

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Data Index: 130618 (C4 (Web Text))

Max Activating Token Index: 318

Text #8

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Data Index: 380335 (C4 (Web Text))

Max Activating Token Index: 516

Text #9

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Data Index: 163691 (C4 (Web Text))

Max Activating Token Index: 295

Text #10

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Max Activating Token Index: 234

Text #11

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Max Activating Token Index: 117

Text #12

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Max Activating Token Index: 987

Text #13

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Data Index: 841956 (C4 (Web Text))

Max Activating Token Index: 140

Text #14

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Data Index: 958633 (C4 (Web Text))

Max Activating Token Index: 551

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 992

Text #18

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Max Activating Token Index: 776

Text #19

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Data Index: 710919 (C4 (Web Text))

Max Activating Token Index: 328