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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 2018 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

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Max Act: 3.9048. Min Act: -0.1627

Data Index: 1403546 (Python Code)

Max Activating Token Index: 511

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Text #1

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Data Index: 1642332 (Python Code)

Max Activating Token Index: 861

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Text #2

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Max Act: 3.8824. Min Act: -0.1699

Data Index: 144080 (C4 (Web Text))

Max Activating Token Index: 860

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Text #3

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Data Index: 1360986 (Python Code)

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Text #4

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Data Index: 1083197 (C4 (Web Text))

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Text #5

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Data Index: 1485889 (Python Code)

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Text #6

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Text #7

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Text #8

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Data Index: 1350407 (C4 (Web Text))

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Text #9

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Data Index: 545584 (C4 (Web Text))

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Text #10

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Data Index: 1549254 (Python Code)

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Text #11

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Text #12

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Text #13

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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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