'the' after 'is' or 'was' before a role

What this neuron does

This neuron fires on the word 'the' right after a verb like 'is' or 'was' when it introduces someone's role or title, as in 'he was the first'. Turned up, the model got stuck repeating 'the result of the', which fits its focus on the word 'the'.

Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens a prefilled issue on GitHub).

Fires most on

The text windows where this neuron's activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

1. #1 peak

   1236⏎|Died||1301 (aged 64–65)⏎Violant was born in Zaragoza, the daughter of King James I of Aragon (1213–12

2. #2 peak

   - FRONT OF HOUSE⏎- AFTERWORD / THE PERFORMERS⏎Robert Sutherland-Cohen is the Associate Professor of Stage Management and Production Manager at Brooklyn College. He has been production

3. #3 peak

   the rate of the global average.1⏎Gayle Tzemach Lemmon, a senior fellow at the Council on Foreign Relations as well as a journalist and the best-selling author of The Dressmaker of Khair Khana, believes that full

4. #4 peak

   City & Regional Planning and Historic Preservation at the University of Pennsylvania Stuart Weitzman School of Design. A social and cultural historian of the built environment, she is the author of Bulldozer: Demolition and Clearance of the Postwar Landscape

5. #5 peak

   of the Leopold Leadership Program at Stanford University. He is also the director of the Tree Biosafety and Genomics Research Cooperative at OSU that conducts

6. #6 peak

   help measure brown fat deposits that aid in non-shivering thermogenesis.<|endoftext|>Gruoch of Scotland⏎Gruoch (* 1015) was the daughter of Bodhe, Prince of Scotland, and granddaughter of Kenneth III .. At

Steering

Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

1. #1 peak

   , this function is only declared as:⏎void * memchr ( const void *, int, size_t );⏎instead of the two overloaded versions provided in C++.⏎/* memchr example */⏎int main ()⏎char * pch;⏎char str = "

2. #2 peak

   00) ⇒ #<marker at 100 in markers.texi>⏎;; Now insert one character at the beginning of the buffer: (goto-char (point

3. #3 peak

   the problem of a two way lookup comes up quite often. In this article we explore 4 methods of how to conduct 2D lookups in Excel.⏎+++NEW+++NEW+++NEW+++ 2D XLOOKUP +++NEW+++NEW

4. #4 peak

   Enchanted Learning website for:|⏎Copyright ©2002-2016 EnchantedLearning.com ------<|endoftext|>Next analogy uses the fresh etymology out of spam-unwanted rubbish email-to

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Activation histogram

How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.

Logit lens

The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layers instead.