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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1930 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.9263. Min Act: -0.0001

Data Index: 128257 (C4 (Web Text))

Max Activating Token Index: 218

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Text #1

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Max Act: 0.7711. Min Act: -0.0001

Data Index: 1631605 (Python Code)

Max Activating Token Index: 238

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Text #2

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Max Act: 0.8054. Min Act: -0.0001

Data Index: 123384 (C4 (Web Text))

Max Activating Token Index: 472

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Text #3

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Data Index: 1444286 (Python Code)

Max Activating Token Index: 193

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Text #4

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Data Index: 1482660 (Python Code)

Max Activating Token Index: 96

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Text #5

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Data Index: 1543332 (Python Code)

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Text #6

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Data Index: 1633288 (Python Code)

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Text #7

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Data Index: 1515160 (Python Code)

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Text #8

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Data Index: 1397935 (Python Code)

Max Activating Token Index: 230

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Text #9

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Data Index: 1583262 (Python Code)

Max Activating Token Index: 188

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Text #10

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Data Index: 1493373 (Python Code)

Max Activating Token Index: 382

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Text #11

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Data Index: 1386262 (Python Code)

Max Activating Token Index: 315

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Text #12

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Text #13

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Text #14

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Data Index: 1586341 (Python Code)

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Text #15

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Text #16

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Data Index: 1603325 (Python Code)

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Text #17

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Max Activating Token Index: 119

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Text #18

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Max Activating Token Index: 937

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Text #19

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Data Index: 1588293 (Python Code)

Max Activating Token Index: 47

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