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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 44 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 3.8493. Min Range: -3.8493

Max Act: 3.8493. Min Act: -0.1700

Data Index: 880997 (C4 (Web Text))

Max Activating Token Index: 730

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Text #1

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Max Act: 3.6086. Min Act: -0.1700

Data Index: 591873 (C4 (Web Text))

Max Activating Token Index: 1012

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Text #2

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Max Act: 3.5881. Min Act: -0.1700

Data Index: 16912 (C4 (Web Text))

Max Activating Token Index: 123

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Text #3

Max Range: 3.8493. Min Range: -3.8493

Max Act: 3.5754. Min Act: -0.1700

Data Index: 1109680 (C4 (Web Text))

Max Activating Token Index: 988

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Text #4

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Max Act: 3.5405. Min Act: -0.1700

Data Index: 650609 (C4 (Web Text))

Max Activating Token Index: 972

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Text #5

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Max Act: 3.5878. Min Act: -0.1700

Data Index: 29669 (C4 (Web Text))

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Text #6

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Max Act: 3.5006. Min Act: -0.1700

Data Index: 249009 (C4 (Web Text))

Max Activating Token Index: 946

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Text #7

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Data Index: 517453 (C4 (Web Text))

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Text #8

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Max Act: 3.5527. Min Act: -0.1700

Data Index: 883452 (C4 (Web Text))

Max Activating Token Index: 697

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Text #9

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Max Act: 3.5539. Min Act: -0.1700

Data Index: 791768 (C4 (Web Text))

Max Activating Token Index: 947

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Text #10

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Data Index: 321407 (C4 (Web Text))

Max Activating Token Index: 811

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Text #11

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Data Index: 652591 (C4 (Web Text))

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Text #12

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Data Index: 1131848 (C4 (Web Text))

Max Activating Token Index: 487

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Text #13

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Max Act: 3.5089. Min Act: -0.1700

Data Index: 10040 (C4 (Web Text))

Max Activating Token Index: 992

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Text #14

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Data Index: 373193 (C4 (Web Text))

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Text #15

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Max Act: 3.4697. Min Act: -0.1700

Data Index: 110112 (C4 (Web Text))

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Text #16

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Data Index: 1162961 (C4 (Web Text))

Max Activating Token Index: 801

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Text #17

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Data Index: 1187538 (C4 (Web Text))

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Text #18

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Data Index: 364576 (C4 (Web Text))

Max Activating Token Index: 375

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Text #19

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Data Index: 977321 (C4 (Web Text))

Max Activating Token Index: 812

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