Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2015 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0528. Min Act: -0.0003
Data Index: 57621 (C4 (Web Text))
Max Activating Token Index: 919
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Text #1
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Data Index: 24716 (C4 (Web Text))
Max Activating Token Index: 406
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Full Text #1
Text #2
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Data Index: 568832 (C4 (Web Text))
Max Activating Token Index: 890
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Text #3
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Data Index: 620370 (C4 (Web Text))
Max Activating Token Index: 484
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Text #4
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Data Index: 42138 (C4 (Web Text))
Max Activating Token Index: 935
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Text #5
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Data Index: 1325351 (C4 (Web Text))
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Text #6
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Data Index: 841361 (C4 (Web Text))
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Text #7
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Data Index: 1267757 (C4 (Web Text))
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Text #8
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Data Index: 279797 (C4 (Web Text))
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Text #9
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Data Index: 461675 (C4 (Web Text))
Max Activating Token Index: 108
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Text #10
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Data Index: 1063558 (C4 (Web Text))
Max Activating Token Index: 467
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Text #11
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Data Index: 960948 (C4 (Web Text))
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Text #12
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Data Index: 1197309 (C4 (Web Text))
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Text #13
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Data Index: 919617 (C4 (Web Text))
Max Activating Token Index: 694
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Text #14
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Data Index: 228630 (C4 (Web Text))
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Text #15
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Data Index: 1351489 (C4 (Web Text))
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Text #16
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Data Index: 1242523 (C4 (Web Text))
Max Activating Token Index: 932
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Text #17
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Data Index: 902585 (C4 (Web Text))
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Text #18
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Data Index: 1015723 (C4 (Web Text))
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Text #19
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Data Index: 650 (C4 (Web Text))
Max Activating Token Index: 294
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