Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 471 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0459. Min Act: -0.0006

Data Index: 577618 (C4 (Web Text))

Max Activating Token Index: 136

Text #1

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Max Act: 0.0405. Min Act: -0.0006

Data Index: 58460 (C4 (Web Text))

Max Activating Token Index: 825

Text #2

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Max Act: 0.0399. Min Act: -0.0006

Data Index: 62185 (C4 (Web Text))

Max Activating Token Index: 229

Text #3

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Max Act: 0.0403. Min Act: -0.0006

Data Index: 398723 (C4 (Web Text))

Max Activating Token Index: 251

Text #4

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Max Act: 0.0378. Min Act: -0.0006

Data Index: 365503 (C4 (Web Text))

Max Activating Token Index: 72

Text #5

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Data Index: 373760 (C4 (Web Text))

Max Activating Token Index: 403

Text #6

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Max Activating Token Index: 299

Text #7

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Max Activating Token Index: 490

Text #8

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Data Index: 503891 (C4 (Web Text))

Max Activating Token Index: 549

Text #9

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Data Index: 528395 (C4 (Web Text))

Max Activating Token Index: 909

Text #10

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Max Activating Token Index: 184

Text #11

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Data Index: 686856 (C4 (Web Text))

Max Activating Token Index: 422

Text #12

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Data Index: 884124 (C4 (Web Text))

Max Activating Token Index: 202

Text #13

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Data Index: 100816 (C4 (Web Text))

Max Activating Token Index: 315

Text #14

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Data Index: 740380 (C4 (Web Text))

Max Activating Token Index: 321

Text #15

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Max Activating Token Index: 190

Text #16

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Text #17

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Max Activating Token Index: 194

Text #18

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Max Activating Token Index: 750

Text #19

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Data Index: 419718 (C4 (Web Text))

Max Activating Token Index: 202