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

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

Neuron 1270 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.6482. Min Act: -0.1700

Data Index: 1092343 (C4 (Web Text))

Max Activating Token Index: 13

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Text #1

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Max Act: 2.6161. Min Act: -0.1700

Data Index: 1041114 (C4 (Web Text))

Max Activating Token Index: 811

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Text #2

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Max Act: 2.5839. Min Act: -0.1699

Data Index: 847092 (C4 (Web Text))

Max Activating Token Index: 817

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Text #3

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Data Index: 932144 (C4 (Web Text))

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Text #4

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Data Index: 1440383 (Python Code)

Max Activating Token Index: 627

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 59209 (C4 (Web Text))

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Text #10

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Data Index: 1217117 (C4 (Web Text))

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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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Data Index: 1558538 (Python Code)

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Text #15

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Data Index: 1228359 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Max Act: 2.5355. Min Act: -0.1700

Data Index: 1078378 (C4 (Web Text))

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Text #19

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Data Index: 1237742 (C4 (Web Text))

Max Activating Token Index: 1014

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