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

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

Neuron 1457 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: 4.5409. Min Act: -0.1700

Data Index: 335548 (C4 (Web Text))

Max Activating Token Index: 731

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Text #1

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Max Act: 4.5096. Min Act: -0.1700

Data Index: 254791 (C4 (Web Text))

Max Activating Token Index: 669

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Text #2

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Max Act: 4.3846. Min Act: -0.1700

Data Index: 1063835 (C4 (Web Text))

Max Activating Token Index: 269

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Text #3

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Max Act: 4.3533. Min Act: -0.1700

Data Index: 468155 (C4 (Web Text))

Max Activating Token Index: 434

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Text #4

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Max Act: 4.2596. Min Act: -0.1700

Data Index: 948287 (C4 (Web Text))

Max Activating Token Index: 810

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Text #5

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Max Act: 4.2908. Min Act: -0.1700

Data Index: 1334047 (C4 (Web Text))

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Text #6

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Data Index: 1165200 (C4 (Web Text))

Max Activating Token Index: 482

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Text #7

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Data Index: 4423 (C4 (Web Text))

Max Activating Token Index: 551

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Text #8

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Max Act: 4.1658. Min Act: -0.1700

Data Index: 449157 (C4 (Web Text))

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Text #9

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Max Act: 4.1346. Min Act: -0.1700

Data Index: 96850 (C4 (Web Text))

Max Activating Token Index: 255

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Text #10

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Data Index: 616740 (C4 (Web Text))

Max Activating Token Index: 703

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Text #11

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Data Index: 1596001 (Python Code)

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Text #12

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Data Index: 1367781 (Python Code)

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Text #13

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Data Index: 304551 (C4 (Web Text))

Max Activating Token Index: 79

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Text #14

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Data Index: 793943 (C4 (Web Text))

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Text #15

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Data Index: 250334 (C4 (Web Text))

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Text #16

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Data Index: 104307 (C4 (Web Text))

Max Activating Token Index: 229

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Text #17

Max Range: 4.5409. Min Range: -4.5409

Max Act: 4.0408. Min Act: -0.1700

Data Index: 487861 (C4 (Web Text))

Max Activating Token Index: 719

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Text #18

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Max Act: 4.1033. Min Act: -0.1700

Data Index: 559015 (C4 (Web Text))

Max Activating Token Index: 286

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Text #19

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Max Act: 4.0408. Min Act: -0.1700

Data Index: 1084200 (C4 (Web Text))

Max Activating Token Index: 706

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