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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 10 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

Max Range: 6.2097. Min Range: -6.2097

Max Act: 6.2097. Min Act: -0.1700

Data Index: 139659 (C4 (Web Text))

Max Activating Token Index: 631

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Text #1

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Max Act: 6.2097. Min Act: -0.1700

Data Index: 173706 (C4 (Web Text))

Max Activating Token Index: 675

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Text #2

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Max Act: 6.1784. Min Act: -0.1700

Data Index: 165686 (C4 (Web Text))

Max Activating Token Index: 434

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Text #3

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Max Act: 6.0847. Min Act: -0.1700

Data Index: 943888 (C4 (Web Text))

Max Activating Token Index: 914

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Text #4

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Max Act: 6.0534. Min Act: -0.1700

Data Index: 1042043 (C4 (Web Text))

Max Activating Token Index: 758

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Text #5

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Data Index: 985906 (C4 (Web Text))

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Text #6

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Data Index: 631220 (C4 (Web Text))

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Text #7

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Data Index: 256491 (C4 (Web Text))

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Text #8

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Data Index: 1167315 (C4 (Web Text))

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Text #9

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Data Index: 912134 (C4 (Web Text))

Max Activating Token Index: 211

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Text #10

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Data Index: 694896 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 927066 (C4 (Web Text))

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Text #13

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Data Index: 571225 (C4 (Web Text))

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Text #14

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Data Index: 428313 (C4 (Web Text))

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Text #15

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Data Index: 390730 (C4 (Web Text))

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Text #16

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Data Index: 713383 (C4 (Web Text))

Max Activating Token Index: 644

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Text #17

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Data Index: 192979 (C4 (Web Text))

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Text #18

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Data Index: 441157 (C4 (Web Text))

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Text #19

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Data Index: 284674 (C4 (Web Text))

Max Activating Token Index: 487

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