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

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

Neuron 1994 in Layer 0

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



Text #0

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Data Index: 1432411 (Python Code)

Max Activating Token Index: 645

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Text #1

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Data Index: 1485784 (Python Code)

Max Activating Token Index: 66

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Text #2

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Data Index: 1544987 (Python Code)

Max Activating Token Index: 472

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Text #3

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Data Index: 1512925 (Python Code)

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Text #4

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Data Index: 600281 (C4 (Web Text))

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Text #5

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Data Index: 1590640 (Python Code)

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Text #6

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Data Index: 491695 (C4 (Web Text))

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Text #7

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Data Index: 1362582 (Python Code)

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Text #8

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Data Index: 1428373 (Python Code)

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Text #9

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Data Index: 1399307 (Python Code)

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Text #10

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Data Index: 1430150 (Python Code)

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Text #11

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Text #12

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Text #14

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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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Text #19

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Data Index: 1610212 (Python Code)

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