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

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

Neuron 2015 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: 3.9415. Min Range: -3.9415

Max Act: 3.9415. Min Act: -0.1700

Data Index: 114782 (C4 (Web Text))

Max Activating Token Index: 750

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Truncated

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Text #1

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Max Act: 3.8946. Min Act: -0.1700

Data Index: 183718 (C4 (Web Text))

Max Activating Token Index: 267

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Truncated

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Text #2

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Max Act: 3.8477. Min Act: -0.1700

Data Index: 1192745 (C4 (Web Text))

Max Activating Token Index: 560

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Text #3

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Max Act: 3.7695. Min Act: -0.1700

Data Index: 670679 (C4 (Web Text))

Max Activating Token Index: 599

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Text #4

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Max Act: 3.8008. Min Act: -0.1700

Data Index: 574842 (C4 (Web Text))

Max Activating Token Index: 877

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Text #5

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Max Act: 3.7695. Min Act: -0.1700

Data Index: 449120 (C4 (Web Text))

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Text #6

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Data Index: 669921 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #7

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Data Index: 737210 (C4 (Web Text))

Max Activating Token Index: 380

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Text #8

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Data Index: 1256644 (C4 (Web Text))

Max Activating Token Index: 504

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Text #9

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Max Act: 3.7538. Min Act: -0.1700

Data Index: 327840 (C4 (Web Text))

Max Activating Token Index: 494

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Text #10

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Data Index: 775961 (C4 (Web Text))

Max Activating Token Index: 144

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Text #11

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Text #12

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Data Index: 1100568 (C4 (Web Text))

Max Activating Token Index: 883

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Text #13

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Data Index: 1010925 (C4 (Web Text))

Max Activating Token Index: 558

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Text #14

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Data Index: 837268 (C4 (Web Text))

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Text #15

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Data Index: 725692 (C4 (Web Text))

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Text #16

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Data Index: 314641 (C4 (Web Text))

Max Activating Token Index: 384

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Text #17

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Max Act: 3.6913. Min Act: -0.1700

Data Index: 1263998 (C4 (Web Text))

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Text #18

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Data Index: 662666 (C4 (Web Text))

Max Activating Token Index: 780

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Text #19

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Max Act: 3.6443. Min Act: -0.1700

Data Index: 741471 (C4 (Web Text))

Max Activating Token Index: 249

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