unclear: line breaks inside sentences

What this neuron does

This neuron mostly fires on line breaks that sit in the middle of a sentence, which happens in text that was wrapped at a fixed width. It also fires weakly on some small connecting words. When it was turned up, the replies drifted without a clear theme.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

   can⏎be fitted together?⏎Using different numbers of sticks, how many different triangles are⏎you able to make? Can you make any rules about the numbers of⏎sticks that make the most triangles?⏎Design an arrangement of display boards in

2. #2 peak

   that notation. It doesn't quite get to the⏎> issue though.⏎> The problem I'm concerned about is the need to define y in the first⏎> place. If one is chasing through a data structure and finds a need to⏎

3. #3 peak

   fold⏎This problem focuses on Dienes' Logiblocs. What is the same and⏎what is different about these pairs of shapes? Can you describe the⏎shapes in the picture?⏎10 space travellers are waiting to board their spaceships

4. #4 peak

   the browser.⏎Like most other servers, Apache multiplexes its operations so that it can⏎start processing a new request before it has finished working on the previous⏎one. On Unix systems, Apache uses a multiprocess model in which it launches

5. #5 peak

   Wordsmyth is an American English Dictionary with an integrated⏎thesaurus. It includes 50,000 headwords along with interactive, hyperlinked⏎

6. #6 peak

   us. We ought never to take for granted such a great event as the uprising⏎of the British Empire. But we have no right to this position of special⏎and honorable responsibility unless we are determined to use it to the⏎full, not

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

   If a horizontal line intersects the graph of in more than one point, then we see from Figure 2 that there are numbers and such that . This means that is not one-to-one. Therefore we have the following geometric method for determining whether a

2. #2 peak

   . They also secrete , an that breaks down into . In other organisms such as , salivary glands are often used to produce biologically important proteins like or glues, and salivary glands

3. #3 peak

   is produced by the glands.⏎The are a pair of glands located beneath the floor of the mouth, superior to the . The secretion produced is a mixture of both and and enters the via . Approximately 70% of saliva

4. #4 peak

   the common difference. The continuous model is ; where is the intercept and the slope. The discrete model of exponential growth is ; where the first term is , and is the common ratio. The continuous model is .⏎1. Find the common ratio of

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.