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

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

Neuron 359 in Layer 1

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: 3.9159. Min Act: -0.1700

Data Index: 1238132 (C4 (Web Text))

Max Activating Token Index: 364

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Text #1

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Max Act: 3.5403. Min Act: -0.1700

Data Index: 434899 (C4 (Web Text))

Max Activating Token Index: 660

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Text #2

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Max Act: 3.5403. Min Act: -0.1700

Data Index: 1133571 (C4 (Web Text))

Max Activating Token Index: 557

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Text #3

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Max Act: 3.4933. Min Act: -0.1700

Data Index: 1347051 (C4 (Web Text))

Max Activating Token Index: 280

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Text #4

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Max Act: 3.4777. Min Act: -0.1700

Data Index: 210894 (C4 (Web Text))

Max Activating Token Index: 253

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Text #5

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Data Index: 409167 (C4 (Web Text))

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Text #6

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Data Index: 414153 (C4 (Web Text))

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Text #7

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Data Index: 244070 (C4 (Web Text))

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Text #8

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Data Index: 1554655 (Python Code)

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Text #9

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Data Index: 1141499 (C4 (Web Text))

Max Activating Token Index: 366

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Text #10

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Data Index: 262780 (C4 (Web Text))

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Text #11

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Data Index: 222411 (C4 (Web Text))

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Text #12

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Data Index: 138927 (C4 (Web Text))

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Text #13

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Data Index: 350755 (C4 (Web Text))

Max Activating Token Index: 386

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Text #14

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Text #15

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Data Index: 132278 (C4 (Web Text))

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Text #16

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Data Index: 38089 (C4 (Web Text))

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Text #17

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Data Index: 1465663 (Python Code)

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Text #18

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Max Act: 3.4463. Min Act: -0.1700

Data Index: 247584 (C4 (Web Text))

Max Activating Token Index: 563

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Text #19

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Max Act: 3.4463. Min Act: -0.1700

Data Index: 634757 (C4 (Web Text))

Max Activating Token Index: 317

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