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

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

Neuron 311 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 2.4694. Min Act: -0.1700

Data Index: 1011489 (C4 (Web Text))

Max Activating Token Index: 103

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Text #1

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Data Index: 853875 (C4 (Web Text))

Max Activating Token Index: 599

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Text #2

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Max Act: 2.4369. Min Act: -0.1700

Data Index: 316240 (C4 (Web Text))

Max Activating Token Index: 591

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Text #3

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Max Act: 2.4369. Min Act: -0.1700

Data Index: 368471 (C4 (Web Text))

Max Activating Token Index: 203

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Text #4

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Max Act: 2.4369. Min Act: -0.1700

Data Index: 1104296 (C4 (Web Text))

Max Activating Token Index: 291

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Text #5

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Max Act: 2.4207. Min Act: -0.1700

Data Index: 999835 (C4 (Web Text))

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Text #6

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Data Index: 60134 (C4 (Web Text))

Max Activating Token Index: 218

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Text #7

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Data Index: 747680 (C4 (Web Text))

Max Activating Token Index: 424

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Text #8

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Data Index: 1009691 (C4 (Web Text))

Max Activating Token Index: 810

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Text #9

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Data Index: 140226 (C4 (Web Text))

Max Activating Token Index: 720

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Text #10

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Data Index: 55575 (C4 (Web Text))

Max Activating Token Index: 805

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Text #11

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Text #12

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Data Index: 1470703 (Python Code)

Max Activating Token Index: 4

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Text #13

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Data Index: 1540166 (Python Code)

Max Activating Token Index: 57

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Text #14

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Data Index: 1375386 (Python Code)

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Text #15

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Data Index: 929645 (C4 (Web Text))

Max Activating Token Index: 334

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Text #16

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Data Index: 1076416 (C4 (Web Text))

Max Activating Token Index: 526

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Text #17

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Data Index: 165068 (C4 (Web Text))

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Text #18

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Max Act: 2.3880. Min Act: -0.1700

Data Index: 656339 (C4 (Web Text))

Max Activating Token Index: 229

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Text #19

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Data Index: 172006 (C4 (Web Text))

Max Activating Token Index: 91

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