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

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

Neuron 2022 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 4.7691. Min Act: -0.1700

Data Index: 1029459 (C4 (Web Text))

Max Activating Token Index: 909

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Text #1

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Max Act: 4.6129. Min Act: -0.1700

Data Index: 1490607 (Python Code)

Max Activating Token Index: 148

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Text #2

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Max Act: 4.5191. Min Act: -0.1700

Data Index: 980979 (C4 (Web Text))

Max Activating Token Index: 901

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Text #3

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Max Act: 4.5504. Min Act: -0.1700

Data Index: 1199538 (C4 (Web Text))

Max Activating Token Index: 642

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Text #4

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Data Index: 1277456 (C4 (Web Text))

Max Activating Token Index: 877

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Text #5

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Data Index: 1400726 (Python Code)

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Text #6

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Data Index: 1002553 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 881140 (C4 (Web Text))

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Text #9

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Data Index: 905803 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 326285 (C4 (Web Text))

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Text #18

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Data Index: 1592140 (Python Code)

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Text #19

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Data Index: 1593373 (Python Code)

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