Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 997 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 290907 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Activating Token Index: 1023

Text #2

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Max Activating Token Index: 677

Text #3

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Data Index: 1339861 (C4 (Web Text))

Max Activating Token Index: 666

Text #4

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Data Index: 979517 (C4 (Web Text))

Max Activating Token Index: 1013

Text #5

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Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 267

Text #7

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Text #8

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Max Activating Token Index: 296

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 474

Text #12

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Max Activating Token Index: 349

Text #13

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Max Activating Token Index: 246

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Text #18

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Text #19

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Data Index: 375045 (C4 (Web Text))

Max Activating Token Index: 188