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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 200 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Data Index: 1416107 (Python Code)

Max Activating Token Index: 167

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Text #1

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Data Index: 1472386 (Python Code)

Max Activating Token Index: 414

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Text #2

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Data Index: 1517721 (Python Code)

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Text #3

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Data Index: 1571545 (Python Code)

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Text #4

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Data Index: 1540256 (Python Code)

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Text #5

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Data Index: 1001810 (C4 (Web Text))

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Text #6

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Data Index: 1385894 (Python Code)

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Text #7

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Text #8

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Data Index: 1569871 (Python Code)

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Data Index: 1604394 (Python Code)

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Text #10

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Data Index: 221912 (C4 (Web Text))

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Text #11

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Data Index: 41523 (C4 (Web Text))

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Text #12

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Data Index: 1367663 (Python Code)

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Data Index: 298042 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1631193 (Python Code)

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