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

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

Neuron 1217 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 4.6364. Min Act: -0.1700

Data Index: 283066 (C4 (Web Text))

Max Activating Token Index: 241

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Text #1

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Max Act: 4.5427. Min Act: -0.1700

Data Index: 1532036 (Python Code)

Max Activating Token Index: 306

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Text #2

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Max Act: 4.4489. Min Act: -0.1699

Data Index: 1332173 (C4 (Web Text))

Max Activating Token Index: 226

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Text #3

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Data Index: 1441399 (Python Code)

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Text #4

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Data Index: 1292618 (C4 (Web Text))

Max Activating Token Index: 694

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Text #5

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Data Index: 1181185 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 156466 (C4 (Web Text))

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Text #9

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Data Index: 1082961 (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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Data Index: 1404805 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 267534 (C4 (Web Text))

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Text #19

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Data Index: 780806 (C4 (Web Text))

Max Activating Token Index: 759

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