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

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

Neuron 637 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: 4.5117. Min Act: -0.1700

Data Index: 1383833 (Python Code)

Max Activating Token Index: 8

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Text #1

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Max Act: 4.4179. Min Act: -0.1700

Data Index: 228834 (C4 (Web Text))

Max Activating Token Index: 1001

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Text #2

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Max Act: 4.1991. Min Act: -0.1700

Data Index: 425341 (C4 (Web Text))

Max Activating Token Index: 271

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Text #3

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Max Act: 4.2304. Min Act: -0.1700

Data Index: 1651858 (Python Code)

Max Activating Token Index: 724

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Text #4

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Max Act: 4.2616. Min Act: -0.1700

Data Index: 1409 (C4 (Web Text))

Max Activating Token Index: 537

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Text #5

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Data Index: 85093 (C4 (Web Text))

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Text #6

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Data Index: 940862 (C4 (Web Text))

Max Activating Token Index: 259

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Text #7

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Data Index: 277186 (C4 (Web Text))

Max Activating Token Index: 606

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Text #8

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Max Act: 4.1053. Min Act: -0.1700

Data Index: 1131744 (C4 (Web Text))

Max Activating Token Index: 867

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Text #9

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Data Index: 901375 (C4 (Web Text))

Max Activating Token Index: 470

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Text #10

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Data Index: 1602753 (Python Code)

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Text #11

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Data Index: 7417 (C4 (Web Text))

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Text #12

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Data Index: 1164998 (C4 (Web Text))

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Text #13

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Data Index: 890745 (C4 (Web Text))

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Text #14

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Data Index: 1183130 (C4 (Web Text))

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Text #15

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Data Index: 563873 (C4 (Web Text))

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Text #16

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Data Index: 299444 (C4 (Web Text))

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Text #17

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Max Act: 4.0741. Min Act: -0.1700

Data Index: 12071 (C4 (Web Text))

Max Activating Token Index: 939

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Text #18

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Max Act: 4.1366. Min Act: -0.1700

Data Index: 274530 (C4 (Web Text))

Max Activating Token Index: 608

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Text #19

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Max Act: 4.0428. Min Act: -0.1700

Data Index: 335496 (C4 (Web Text))

Max Activating Token Index: 666

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