comma right after 'because' or 'that'

What this neuron does

This neuron fires on the comma that comes straight after a word like 'because', 'that' or 'if', just before a new clause explains the reason. Turning it up did not clearly change how the model wrote.

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

   adjacent nodes (not including the node itself). Our depiction of graphs will look much like our depiction of trees. This should come as no surprise because, if you recall, trees are a special case of graphs.⏎If you cross-reference

2. #2 peak

   . Accordingly, there is also no consensus as to when the political<|endoftext|>What are the points of appeal in the poetry of Frost?⏎This poem teaches its readers that, in life, we must make choices, and learn to live with and move on

3. #3 peak

   delay their evolution.⏎Cataract - Like fogged-up lenses⏎Cataracts make our vision blurry. This happens because, as you get older, your eye lens - the crystalline lens - becomes thicker

4. #4 peak

   fatty liver disease, as well as less threatening conditions that serve as precursors to co-morbidities. The report indicates that we should not be surprised if, by 2025, somewhere around 90 million of the world

5. #5 peak

   ating pathogens or components of pathogens that stimulate the immune system to form antibodies without the disease outbreak. In Germany or America, another line of research is pursued, because, in General, the in

6. #6 peak

   , which carry the instructions for proteins essential to the structure and function of our cells, tissues and organs. Some of these genes are very similar to each other because, as the genomes of humans and other mammals evolve, glitches in DNA replication sometimes result

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

   useless :P I just felt like correcting the other code (too tired to check who it was that posted it, and I can't see just now anyway :P)⏎void genFactorial(int x, int t)⏎int total = t;

2. #2 peak

   't see any code to exit out of the loop, IE it will continue to call it self over and over until the program finally kills the heap/stack or something. I don't quite know what it is...⏎Also, even if it wasn

3. #3 peak

   island.⏎There used to be a webcam pointed at Cleveland. I checked it frequently but there was hardly ever anything to be seen due to bad weather or nighttime ;). The site states that the cam needs to be rehoused as of end of

4. #4 peak

   response, it would make sense to amend the standard on dosing and administration to meet clinical appropriateness. This would impact their benefits versus risk model. From what I’ve heard on how states and stakeholders are debating what to require and what not

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.