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

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

Neuron 10 in Layer 1

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

Text #0

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Max Act: 0.0210. Min Act: -0.0004

Data Index: 616197 (C4 (Web Text))

Max Activating Token Index: 567

Text #1

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Max Act: 0.0185. Min Act: -0.0004

Data Index: 925951 (C4 (Web Text))

Max Activating Token Index: 407

Text #2

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 110363 (C4 (Web Text))

Max Activating Token Index: 615

Text #3

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Max Act: 0.0222. Min Act: -0.0004

Data Index: 87273 (C4 (Web Text))

Max Activating Token Index: 1021

Text #4

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Max Act: 0.0217. Min Act: -0.0004

Data Index: 704550 (C4 (Web Text))

Max Activating Token Index: 23

Text #5

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Max Act: 0.0217. Min Act: -0.0004

Data Index: 364276 (C4 (Web Text))

Max Activating Token Index: 359

Text #6

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Max Activating Token Index: 529

Text #7

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Max Activating Token Index: 71

Text #8

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Data Index: 617143 (C4 (Web Text))

Max Activating Token Index: 786

Text #9

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Data Index: 514329 (C4 (Web Text))

Max Activating Token Index: 697

Text #10

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Max Activating Token Index: 897

Text #11

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Data Index: 471349 (C4 (Web Text))

Max Activating Token Index: 23

Text #12

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Max Activating Token Index: 423

Text #13

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Data Index: 241452 (C4 (Web Text))

Max Activating Token Index: 481

Text #14

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Max Activating Token Index: 415

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 301

Text #18

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Data Index: 220578 (C4 (Web Text))

Max Activating Token Index: 572

Text #19

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Data Index: 1097325 (C4 (Web Text))

Max Activating Token Index: 552