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

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

Neuron 1755 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.0310. Min Range: -3.0310

Max Act: 3.0310. Min Act: -0.1700

Data Index: 259652 (C4 (Web Text))

Max Activating Token Index: 523

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Truncated

Full Text #0


Text #1

Max Range: 3.0310. Min Range: -3.0310

Max Act: 3.0152. Min Act: -0.1700

Data Index: 785654 (C4 (Web Text))

Max Activating Token Index: 616

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Truncated

Full Text #1


Text #2

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9994. Min Act: -0.1700

Data Index: 239475 (C4 (Web Text))

Max Activating Token Index: 100

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Truncated

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Text #3

Max Range: 3.0310. Min Range: -3.0310

Max Act: 3.0152. Min Act: -0.1700

Data Index: 1141750 (C4 (Web Text))

Max Activating Token Index: 50

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Truncated

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Text #4

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9994. Min Act: -0.1700

Data Index: 1342886 (C4 (Web Text))

Max Activating Token Index: 1013

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Truncated

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Text #5

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9836. Min Act: -0.1700

Data Index: 1377175 (Python Code)

Max Activating Token Index: 76

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Truncated

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Text #6

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9836. Min Act: -0.1700

Data Index: 785685 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

Full Text #6


Text #7

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9836. Min Act: -0.1700

Data Index: 206915 (C4 (Web Text))

Max Activating Token Index: 526

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Truncated

Full Text #7


Text #8

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9836. Min Act: -0.1700

Data Index: 912846 (C4 (Web Text))

Max Activating Token Index: 115

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Truncated

Full Text #8


Text #9

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9836. Min Act: -0.1700

Data Index: 664987 (C4 (Web Text))

Max Activating Token Index: 617

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Truncated

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Text #10

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9519. Min Act: -0.1700

Data Index: 1477987 (Python Code)

Max Activating Token Index: 524

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Truncated

Full Text #10


Text #11

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9678. Min Act: -0.1700

Data Index: 124626 (C4 (Web Text))

Max Activating Token Index: 146

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Truncated

Full Text #11


Text #12

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9678. Min Act: -0.1700

Data Index: 170811 (C4 (Web Text))

Max Activating Token Index: 199

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Truncated

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Text #13

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9678. Min Act: -0.1700

Data Index: 358971 (C4 (Web Text))

Max Activating Token Index: 517

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Truncated

Full Text #13


Text #14

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9678. Min Act: -0.1700

Data Index: 515326 (C4 (Web Text))

Max Activating Token Index: 14

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Truncated

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Text #15

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9519. Min Act: -0.1700

Data Index: 696545 (C4 (Web Text))

Max Activating Token Index: 723

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Truncated

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Text #16

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9361. Min Act: -0.1700

Data Index: 100833 (C4 (Web Text))

Max Activating Token Index: 374

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Truncated

Full Text #16


Text #17

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9519. Min Act: -0.1700

Data Index: 324919 (C4 (Web Text))

Max Activating Token Index: 124

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Truncated

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Text #18

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9519. Min Act: -0.1700

Data Index: 531527 (C4 (Web Text))

Max Activating Token Index: 216

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Truncated

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Text #19

Max Range: 3.0310. Min Range: -3.0310

Max Act: 2.9519. Min Act: -0.1700

Data Index: 533208 (C4 (Web Text))

Max Activating Token Index: 22

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Truncated

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