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

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

Neuron 957 in Layer 0

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

Text #0

Max Range: 3.1911. Min Range: -3.1911

Max Act: 3.1911. Min Act: -0.1700

Data Index: 721472 (C4 (Web Text))

Max Activating Token Index: 638

Text #1

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Data Index: 1215880 (C4 (Web Text))

Max Activating Token Index: 474

Text #2

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Data Index: 231248 (C4 (Web Text))

Max Activating Token Index: 565

Text #3

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Data Index: 195493 (C4 (Web Text))

Max Activating Token Index: 576

Text #4

Max Range: 3.1911. Min Range: -3.1911

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Data Index: 1046920 (C4 (Web Text))

Max Activating Token Index: 299

Text #5

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Data Index: 1093214 (C4 (Web Text))

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Text #6

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Data Index: 91873 (C4 (Web Text))

Max Activating Token Index: 314

Text #7

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Text #8

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Max Activating Token Index: 482

Text #9

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Data Index: 397327 (C4 (Web Text))

Max Activating Token Index: 660

Text #10

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Max Activating Token Index: 376

Text #11

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Text #12

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Data Index: 559025 (C4 (Web Text))

Max Activating Token Index: 396

Text #13

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Data Index: 592264 (C4 (Web Text))

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Text #14

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Data Index: 778390 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1010318 (C4 (Web Text))

Max Activating Token Index: 510

Text #19

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Data Index: 583879 (C4 (Web Text))

Max Activating Token Index: 467