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

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

Neuron 92 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 3.4463. Min Range: -3.4463

Max Act: 3.4463. Min Act: -0.1700

Data Index: 115338 (C4 (Web Text))

Max Activating Token Index: 433

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Text #1

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Max Act: 3.3836. Min Act: -0.1700

Data Index: 1003737 (C4 (Web Text))

Max Activating Token Index: 188

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Text #2

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Max Act: 3.3836. Min Act: -0.1700

Data Index: 134102 (C4 (Web Text))

Max Activating Token Index: 571

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Text #3

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Max Act: 3.3522. Min Act: -0.1700

Data Index: 534680 (C4 (Web Text))

Max Activating Token Index: 144

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Text #4

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Max Act: 3.3208. Min Act: -0.1700

Data Index: 210244 (C4 (Web Text))

Max Activating Token Index: 177

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Text #5

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Data Index: 361619 (C4 (Web Text))

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Text #6

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Data Index: 1605330 (Python Code)

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Text #7

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Data Index: 729154 (C4 (Web Text))

Max Activating Token Index: 857

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Text #8

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Data Index: 964848 (C4 (Web Text))

Max Activating Token Index: 559

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Text #9

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Data Index: 743993 (C4 (Web Text))

Max Activating Token Index: 858

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Text #10

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Data Index: 914416 (C4 (Web Text))

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Text #11

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Data Index: 865918 (C4 (Web Text))

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Text #12

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Data Index: 589158 (C4 (Web Text))

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Text #13

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Data Index: 1416878 (Python Code)

Max Activating Token Index: 171

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Text #14

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Text #15

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Data Index: 1178520 (C4 (Web Text))

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Text #16

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Data Index: 1345581 (C4 (Web Text))

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Text #17

Max Range: 3.4463. Min Range: -3.4463

Max Act: 3.1794. Min Act: -0.1700

Data Index: 689425 (C4 (Web Text))

Max Activating Token Index: 158

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Text #18

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Max Act: 3.2108. Min Act: -0.1700

Data Index: 1487267 (Python Code)

Max Activating Token Index: 365

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Text #19

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Max Act: 3.1951. Min Act: -0.1700

Data Index: 584632 (C4 (Web Text))

Max Activating Token Index: 99

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