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

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

Neuron 2 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.4304. Min Range: -4.4304

Max Act: 4.4304. Min Act: -0.1700

Data Index: 1491885 (Python Code)

Max Activating Token Index: 649

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Text #1

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Max Act: 4.2741. Min Act: -0.1700

Data Index: 1636337 (Python Code)

Max Activating Token Index: 708

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Text #2

Max Range: 4.4304. Min Range: -4.4304

Max Act: 4.2116. Min Act: -0.1700

Data Index: 790815 (C4 (Web Text))

Max Activating Token Index: 427

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Text #3

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Max Act: 4.2116. Min Act: -0.1700

Data Index: 1511998 (Python Code)

Max Activating Token Index: 611

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Data Index: 1468477 (Python Code)

Max Activating Token Index: 597

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Data Index: 1549725 (Python Code)

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Data Index: 1399986 (Python Code)

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Text #7

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Data Index: 1525445 (Python Code)

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Text #8

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Data Index: 1484599 (Python Code)

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Data Index: 1440553 (Python Code)

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Data Index: 1380958 (Python Code)

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Data Index: 1581938 (Python Code)

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Data Index: 1580130 (Python Code)

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Data Index: 1392951 (Python Code)

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Text #14

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Data Index: 1379330 (Python Code)

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Text #15

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Data Index: 1371201 (Python Code)

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Text #16

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Text #17

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Data Index: 1400572 (Python Code)

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Data Index: 1453492 (Python Code)

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Data Index: 1482787 (Python Code)

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