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

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

Neuron 197 in Layer 0

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



Text #0

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Max Act: 2.5283. Min Act: -0.1700

Data Index: 1609091 (Python Code)

Max Activating Token Index: 613

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Text #1

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Max Act: 2.4959. Min Act: -0.1700

Data Index: 742675 (C4 (Web Text))

Max Activating Token Index: 649

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Text #2

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Max Act: 2.4472. Min Act: -0.1700

Data Index: 1450452 (Python Code)

Max Activating Token Index: 863

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Text #3

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Max Act: 2.4472. Min Act: -0.1700

Data Index: 195089 (C4 (Web Text))

Max Activating Token Index: 720

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Data Index: 1439826 (Python Code)

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Text #5

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Data Index: 1577659 (Python Code)

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Text #6

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Data Index: 1623767 (Python Code)

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Text #7

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Data Index: 1492097 (Python Code)

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Text #8

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Data Index: 1591866 (Python Code)

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Text #9

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Data Index: 1625861 (Python Code)

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Text #10

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Data Index: 1427447 (Python Code)

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Text #11

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Data Index: 1478934 (Python Code)

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Text #12

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Data Index: 239168 (C4 (Web Text))

Max Activating Token Index: 206

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Text #13

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Data Index: 1607078 (Python Code)

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Text #14

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Data Index: 695210 (C4 (Web Text))

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Text #15

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Data Index: 1297969 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 250800 (C4 (Web Text))

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Text #18

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Data Index: 1571940 (Python Code)

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Text #19

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Data Index: 1382295 (Python Code)

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