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

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

Neuron 1177 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 7.0402. Min Range: -7.0402

Max Act: 7.0402. Min Act: -0.1700

Data Index: 1412164 (Python Code)

Max Activating Token Index: 454

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Text #1

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Max Act: 6.6027. Min Act: -0.1700

Data Index: 1006761 (C4 (Web Text))

Max Activating Token Index: 409

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Text #2

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Max Act: 6.4777. Min Act: -0.1700

Data Index: 883220 (C4 (Web Text))

Max Activating Token Index: 523

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Text #3

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Max Act: 6.4777. Min Act: -0.1700

Data Index: 1177719 (C4 (Web Text))

Max Activating Token Index: 234

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Text #4

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Max Act: 6.2277. Min Act: -0.1700

Data Index: 436681 (C4 (Web Text))

Max Activating Token Index: 482

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Text #5

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Max Act: 6.4152. Min Act: -0.1700

Data Index: 989967 (C4 (Web Text))

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Text #6

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Data Index: 26666 (C4 (Web Text))

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Text #7

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Data Index: 1041031 (C4 (Web Text))

Max Activating Token Index: 686

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Text #8

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Data Index: 1051704 (C4 (Web Text))

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Text #9

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Data Index: 1615986 (Python Code)

Max Activating Token Index: 310

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Text #10

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Data Index: 261295 (C4 (Web Text))

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Text #11

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Data Index: 1163507 (C4 (Web Text))

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Text #12

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Data Index: 309684 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 917

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Text #14

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Text #15

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Data Index: 1430082 (Python Code)

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Text #16

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Data Index: 1026663 (C4 (Web Text))

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Text #17

Max Range: 7.0402. Min Range: -7.0402

Max Act: 6.1027. Min Act: -0.1700

Data Index: 329953 (C4 (Web Text))

Max Activating Token Index: 291

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Text #18

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Max Act: 6.2277. Min Act: -0.1700

Data Index: 160277 (C4 (Web Text))

Max Activating Token Index: 671

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Text #19

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Data Index: 1003615 (C4 (Web Text))

Max Activating Token Index: 518

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