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

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

Neuron 1447 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: 3.1236. Min Range: -3.1236

Max Act: 3.1236. Min Act: -0.1700

Data Index: 1224037 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #1

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Max Act: 3.0921. Min Act: -0.1700

Data Index: 1534278 (Python Code)

Max Activating Token Index: 267

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Truncated

Full Text #1


Text #2

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Max Act: 3.0606. Min Act: -0.1700

Data Index: 379622 (C4 (Web Text))

Max Activating Token Index: 849

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Text #3

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Max Act: 3.0606. Min Act: -0.1700

Data Index: 288988 (C4 (Web Text))

Max Activating Token Index: 613

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Truncated

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Text #4

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Max Act: 3.0290. Min Act: -0.1700

Data Index: 474080 (C4 (Web Text))

Max Activating Token Index: 420

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Text #5

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Max Act: 2.9341. Min Act: -0.1700

Data Index: 159345 (C4 (Web Text))

Max Activating Token Index: 944

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Text #6

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Data Index: 1535352 (Python Code)

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Text #7

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Data Index: 1203997 (C4 (Web Text))

Max Activating Token Index: 951

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Truncated

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Text #8

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Max Act: 2.9816. Min Act: -0.1700

Data Index: 312169 (C4 (Web Text))

Max Activating Token Index: 435

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Text #9

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Max Act: 2.9182. Min Act: -0.1700

Data Index: 120072 (C4 (Web Text))

Max Activating Token Index: 798

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Text #10

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Data Index: 204871 (C4 (Web Text))

Max Activating Token Index: 563

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Text #11

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Data Index: 268040 (C4 (Web Text))

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Text #12

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Data Index: 1207795 (C4 (Web Text))

Max Activating Token Index: 703

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Text #13

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Max Act: 2.9024. Min Act: -0.1700

Data Index: 238972 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #14

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Data Index: 652364 (C4 (Web Text))

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Text #15

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Max Act: 2.9182. Min Act: -0.1700

Data Index: 942046 (C4 (Web Text))

Max Activating Token Index: 991

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Text #16

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Data Index: 1268172 (C4 (Web Text))

Max Activating Token Index: 222

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Text #17

Max Range: 3.1236. Min Range: -3.1236

Max Act: 2.9024. Min Act: -0.1700

Data Index: 15837 (C4 (Web Text))

Max Activating Token Index: 532

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Text #18

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Max Act: 2.8706. Min Act: -0.1700

Data Index: 16241 (C4 (Web Text))

Max Activating Token Index: 249

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Text #19

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Max Act: 2.8865. Min Act: -0.1700

Data Index: 1527971 (Python Code)

Max Activating Token Index: 271

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