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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1645 in Layer 0

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.3127. Min Act: -0.1700

Data Index: 401475 (C4 (Web Text))

Max Activating Token Index: 11

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Truncated

Full Text #0


Text #1

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.2303. Min Act: -0.1700

Data Index: 865697 (C4 (Web Text))

Max Activating Token Index: 449

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Truncated

Full Text #1


Text #2

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1806. Min Act: -0.1700

Data Index: 1369692 (Python Code)

Max Activating Token Index: 40

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Truncated

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Text #3

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1972. Min Act: -0.1700

Data Index: 308764 (C4 (Web Text))

Max Activating Token Index: 625

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Truncated

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Text #4

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1972. Min Act: -0.1700

Data Index: 1346706 (C4 (Web Text))

Max Activating Token Index: 78

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Truncated

Full Text #4


Text #5

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1972. Min Act: -0.1700

Data Index: 1253343 (C4 (Web Text))

Max Activating Token Index: 206

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Truncated

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Text #6

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1806. Min Act: -0.1700

Data Index: 968195 (C4 (Web Text))

Max Activating Token Index: 913

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Truncated

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Text #7

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1473. Min Act: -0.1700

Data Index: 1139374 (C4 (Web Text))

Max Activating Token Index: 592

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Truncated

Full Text #7


Text #8

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1639. Min Act: -0.1700

Data Index: 382377 (C4 (Web Text))

Max Activating Token Index: 442

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Truncated

Full Text #8


Text #9

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1473. Min Act: -0.1700

Data Index: 1343741 (C4 (Web Text))

Max Activating Token Index: 138

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Truncated

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Text #10

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1473. Min Act: -0.1700

Data Index: 1485690 (Python Code)

Max Activating Token Index: 341

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Truncated

Full Text #10


Text #11

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 1306321 (C4 (Web Text))

Max Activating Token Index: 312

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Truncated

Full Text #11


Text #12

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 384610 (C4 (Web Text))

Max Activating Token Index: 127

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Truncated

Full Text #12


Text #13

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 340064 (C4 (Web Text))

Max Activating Token Index: 473

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Truncated

Full Text #13


Text #14

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1139. Min Act: -0.1700

Data Index: 665242 (C4 (Web Text))

Max Activating Token Index: 1010

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Truncated

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Text #15

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 1096062 (C4 (Web Text))

Max Activating Token Index: 346

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Truncated

Full Text #15


Text #16

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 48690 (C4 (Web Text))

Max Activating Token Index: 471

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Truncated

Full Text #16


Text #17

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 1332467 (C4 (Web Text))

Max Activating Token Index: 592

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Truncated

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Text #18

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1306. Min Act: -0.1700

Data Index: 997435 (C4 (Web Text))

Max Activating Token Index: 333

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Truncated

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Text #19

Max Range: 2.3127. Min Range: -2.3127

Max Act: 2.1139. Min Act: -0.1700

Data Index: 37766 (C4 (Web Text))

Max Activating Token Index: 284

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Truncated

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