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

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

Neuron 2038 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.7785. Min Range: -4.7785

Max Act: 4.7785. Min Act: -0.1700

Data Index: 876754 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #1

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Max Act: 4.5910. Min Act: -0.1700

Data Index: 596002 (C4 (Web Text))

Max Activating Token Index: 848

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Text #2

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Max Act: 4.5285. Min Act: -0.1700

Data Index: 105895 (C4 (Web Text))

Max Activating Token Index: 351

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Text #3

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Max Act: 4.4347. Min Act: -0.1700

Data Index: 278051 (C4 (Web Text))

Max Activating Token Index: 921

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Text #4

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Data Index: 582925 (C4 (Web Text))

Max Activating Token Index: 386

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Text #5

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Max Act: 4.4035. Min Act: -0.1700

Data Index: 528399 (C4 (Web Text))

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Text #6

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Data Index: 1017254 (C4 (Web Text))

Max Activating Token Index: 369

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Text #7

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Data Index: 189794 (C4 (Web Text))

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Text #8

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Data Index: 1186634 (C4 (Web Text))

Max Activating Token Index: 839

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Text #9

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Data Index: 1096889 (C4 (Web Text))

Max Activating Token Index: 261

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Text #10

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Data Index: 410315 (C4 (Web Text))

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Text #11

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Data Index: 90352 (C4 (Web Text))

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Text #12

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Data Index: 36225 (C4 (Web Text))

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Text #13

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Data Index: 929163 (C4 (Web Text))

Max Activating Token Index: 156

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Text #14

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Text #15

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Data Index: 607641 (C4 (Web Text))

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Text #16

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Data Index: 585481 (C4 (Web Text))

Max Activating Token Index: 990

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Text #17

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Data Index: 640485 (C4 (Web Text))

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Text #18

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Data Index: 254199 (C4 (Web Text))

Max Activating Token Index: 986

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Text #19

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Max Act: 4.2159. Min Act: -0.1700

Data Index: 405146 (C4 (Web Text))

Max Activating Token Index: 496

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