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

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

Neuron 2033 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

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Data Index: 1503489 (Python Code)

Max Activating Token Index: 481

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Text #1

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Data Index: 1434090 (Python Code)

Max Activating Token Index: 498

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Data Index: 1572912 (Python Code)

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Data Index: 1539455 (Python Code)

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Data Index: 1626461 (Python Code)

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Text #5

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Data Index: 1505984 (Python Code)

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Data Index: 1361128 (Python Code)

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Data Index: 1394205 (Python Code)

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Data Index: 1603515 (Python Code)

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Text #14

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Text #16

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Text #17

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Data Index: 989524 (C4 (Web Text))

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Text #18

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Data Index: 1555285 (Python Code)

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