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

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

Neuron 1154 in Layer 0

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

Text #0

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Max Act: 3.6783. Min Act: -0.1700

Data Index: 552705 (C4 (Web Text))

Max Activating Token Index: 991

Text #1

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Max Activating Token Index: 194

Text #2

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Max Act: 3.6157. Min Act: -0.1700

Data Index: 1320687 (C4 (Web Text))

Max Activating Token Index: 517

Text #3

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Max Act: 3.5374. Min Act: -0.1700

Data Index: 925357 (C4 (Web Text))

Max Activating Token Index: 73

Text #4

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Data Index: 1076 (C4 (Web Text))

Max Activating Token Index: 316

Text #5

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Max Activating Token Index: 738

Text #6

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Data Index: 816449 (C4 (Web Text))

Max Activating Token Index: 366

Text #7

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Max Activating Token Index: 384

Text #8

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Max Activating Token Index: 996

Text #9

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Data Index: 560753 (C4 (Web Text))

Max Activating Token Index: 46

Text #10

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Data Index: 1097434 (C4 (Web Text))

Max Activating Token Index: 281

Text #11

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Data Index: 427289 (C4 (Web Text))

Max Activating Token Index: 330

Text #12

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Data Index: 1228098 (C4 (Web Text))

Max Activating Token Index: 448

Text #13

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Data Index: 259524 (C4 (Web Text))

Max Activating Token Index: 478

Text #14

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Data Index: 513285 (C4 (Web Text))

Max Activating Token Index: 274

Text #15

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Data Index: 184200 (C4 (Web Text))

Max Activating Token Index: 912

Text #16

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Max Activating Token Index: 582

Text #17

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Max Activating Token Index: 402

Text #18

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Max Activating Token Index: 341

Text #19

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Max Act: 3.4590. Min Act: -0.1700

Data Index: 1207443 (C4 (Web Text))

Max Activating Token Index: 822