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

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

Neuron 27 in Layer 1

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



Text #0

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Max Act: 2.9526. Min Act: -0.1700

Data Index: 810226 (C4 (Web Text))

Max Activating Token Index: 329

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Text #1

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Data Index: 661357 (C4 (Web Text))

Max Activating Token Index: 794

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Text #2

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Data Index: 864563 (C4 (Web Text))

Max Activating Token Index: 498

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Text #3

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Data Index: 1240624 (C4 (Web Text))

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Text #4

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Data Index: 483591 (C4 (Web Text))

Max Activating Token Index: 335

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Text #5

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Data Index: 428819 (C4 (Web Text))

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Text #6

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Data Index: 440486 (C4 (Web Text))

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Text #7

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Data Index: 1399219 (Python Code)

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Text #8

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Text #9

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Data Index: 409963 (C4 (Web Text))

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Text #10

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Data Index: 1268365 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1309270 (C4 (Web Text))

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Text #13

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Data Index: 1357517 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 1232263 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1310390 (C4 (Web Text))

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Text #18

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Data Index: 1202415 (C4 (Web Text))

Max Activating Token Index: 633

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Text #19

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Data Index: 1589335 (Python Code)

Max Activating Token Index: 663

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