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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 253 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 3.2515. Min Act: -0.1700

Data Index: 552211 (C4 (Web Text))

Max Activating Token Index: 86

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Text #1

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Data Index: 1605881 (Python Code)

Max Activating Token Index: 215

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Text #2

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Max Act: 3.1571. Min Act: -0.1700

Data Index: 53931 (C4 (Web Text))

Max Activating Token Index: 144

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Text #3

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Data Index: 1283540 (C4 (Web Text))

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Text #4

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Data Index: 1339535 (C4 (Web Text))

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Text #5

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Data Index: 1336205 (C4 (Web Text))

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Text #6

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Data Index: 1028543 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 259007 (C4 (Web Text))

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Text #9

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Data Index: 310232 (C4 (Web Text))

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Text #10

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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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Data Index: 740420 (C4 (Web Text))

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Text #18

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Data Index: 22363 (C4 (Web Text))

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Text #19

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Data Index: 162076 (C4 (Web Text))

Max Activating Token Index: 32

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