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

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

Neuron 2000 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 5.3043. Min Act: -0.1700

Data Index: 578456 (C4 (Web Text))

Max Activating Token Index: 166

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Text #1

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Data Index: 161950 (C4 (Web Text))

Max Activating Token Index: 517

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Text #2

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Max Act: 5.1168. Min Act: -0.1700

Data Index: 1212140 (C4 (Web Text))

Max Activating Token Index: 702

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Text #3

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Max Act: 4.8980. Min Act: -0.1700

Data Index: 585104 (C4 (Web Text))

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Text #4

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Data Index: 158293 (C4 (Web Text))

Max Activating Token Index: 301

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 943533 (C4 (Web Text))

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Text #9

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Data Index: 117977 (C4 (Web Text))

Max Activating Token Index: 969

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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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Data Index: 1174143 (C4 (Web Text))

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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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Text #18

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Data Index: 219217 (C4 (Web Text))

Max Activating Token Index: 633

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Text #19

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Data Index: 1125025 (C4 (Web Text))

Max Activating Token Index: 961

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