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

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

Neuron 115 in Layer 1

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



Text #0

Max Range: 3.2259. Min Range: -3.2259

Max Act: 3.2259. Min Act: -0.1700

Data Index: 590213 (C4 (Web Text))

Max Activating Token Index: 781

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Truncated

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Text #1

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Max Act: 3.1945. Min Act: -0.1700

Data Index: 383042 (C4 (Web Text))

Max Activating Token Index: 144

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Truncated

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Text #2

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Max Act: 3.1945. Min Act: -0.1700

Data Index: 466717 (C4 (Web Text))

Max Activating Token Index: 857

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Text #3

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Max Act: 3.1945. Min Act: -0.1700

Data Index: 882632 (C4 (Web Text))

Max Activating Token Index: 293

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Truncated

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Text #4

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Max Act: 3.1945. Min Act: -0.1700

Data Index: 512815 (C4 (Web Text))

Max Activating Token Index: 741

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Truncated

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Text #5

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Max Act: 3.1630. Min Act: -0.1700

Data Index: 1475307 (Python Code)

Max Activating Token Index: 784

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Text #6

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Data Index: 422559 (C4 (Web Text))

Max Activating Token Index: 708

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Text #7

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Data Index: 1276743 (C4 (Web Text))

Max Activating Token Index: 881

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Truncated

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Text #8

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Data Index: 1073354 (C4 (Web Text))

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Text #9

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Data Index: 582257 (C4 (Web Text))

Max Activating Token Index: 867

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Text #10

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Data Index: 888895 (C4 (Web Text))

Max Activating Token Index: 889

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Truncated

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Text #11

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Data Index: 1619919 (Python Code)

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Text #12

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Data Index: 705014 (C4 (Web Text))

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Text #13

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Data Index: 626531 (C4 (Web Text))

Max Activating Token Index: 34

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Text #14

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Data Index: 64853 (C4 (Web Text))

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Text #15

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Data Index: 1289312 (C4 (Web Text))

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Text #16

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Data Index: 352149 (C4 (Web Text))

Max Activating Token Index: 363

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Text #17

Max Range: 3.2259. Min Range: -3.2259

Max Act: 3.1157. Min Act: -0.1700

Data Index: 821621 (C4 (Web Text))

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Text #18

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Max Act: 3.1000. Min Act: -0.1700

Data Index: 440974 (C4 (Web Text))

Max Activating Token Index: 916

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Text #19

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Max Act: 3.0842. Min Act: -0.1700

Data Index: 139908 (C4 (Web Text))

Max Activating Token Index: 994

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