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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 66 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 2.9920. Min Range: -2.9920

Max Act: 2.9920. Min Act: -0.1700

Data Index: 1278108 (C4 (Web Text))

Max Activating Token Index: 277

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Text #1

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Max Act: 2.9445. Min Act: -0.1700

Data Index: 62025 (C4 (Web Text))

Max Activating Token Index: 635

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Text #2

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Max Act: 2.9445. Min Act: -0.1700

Data Index: 920122 (C4 (Web Text))

Max Activating Token Index: 104

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Text #3

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Max Act: 2.9128. Min Act: -0.1700

Data Index: 219888 (C4 (Web Text))

Max Activating Token Index: 615

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Text #4

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Max Act: 2.8969. Min Act: -0.1700

Data Index: 1329049 (C4 (Web Text))

Max Activating Token Index: 446

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Text #5

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Max Act: 2.8969. Min Act: -0.1700

Data Index: 403375 (C4 (Web Text))

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Text #6

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Data Index: 1207689 (C4 (Web Text))

Max Activating Token Index: 155

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Text #7

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Data Index: 823642 (C4 (Web Text))

Max Activating Token Index: 626

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Text #8

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Data Index: 439301 (C4 (Web Text))

Max Activating Token Index: 387

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Text #9

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Max Act: 2.8493. Min Act: -0.1700

Data Index: 799852 (C4 (Web Text))

Max Activating Token Index: 590

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Text #10

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Data Index: 1334377 (C4 (Web Text))

Max Activating Token Index: 429

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Text #11

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Data Index: 527956 (C4 (Web Text))

Max Activating Token Index: 643

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Text #12

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Data Index: 1221907 (C4 (Web Text))

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Text #13

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Data Index: 534252 (C4 (Web Text))

Max Activating Token Index: 381

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Text #14

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Data Index: 1284415 (C4 (Web Text))

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Text #15

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Max Act: 2.8016. Min Act: -0.1700

Data Index: 151654 (C4 (Web Text))

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Text #16

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Data Index: 957294 (C4 (Web Text))

Max Activating Token Index: 595

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Text #17

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Max Act: 2.8493. Min Act: -0.1700

Data Index: 158657 (C4 (Web Text))

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Text #18

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Max Act: 2.7856. Min Act: -0.1700

Data Index: 1020847 (C4 (Web Text))

Max Activating Token Index: 388

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Text #19

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Max Act: 2.7856. Min Act: -0.1700

Data Index: 766133 (C4 (Web Text))

Max Activating Token Index: 542

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