unclear: mixed mid-sentence words

What this neuron does

This neuron fires on a grab bag of words in the middle of sentences, such as 'religion', 'distributions' and 'speaker', with no clear shared theme. Turning it up made the model drift into number and question loops, which does not clearly relate to what it reacts to.

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

   coming here. “Having come from Malaysia makes Eunice’s adjustment to living here much easier. She comes from a predominantly Muslim country so her understanding of the religion helps.” The Massalit are almost entirely Muslim. “Also, because of

2. #2 peak

   these.⏎Note: For this particular tutorial, we will use the Ubuntu 22.04. However, the commands used here are same for all the distributions.⏎

3. #3 peak

   standard contribution is used when the marginal cost is using.⏎Sales Volume Variance Formula⏎In general, the formula of Sales Volume Variance is⏎Sales Volume

4. #4 peak

   should all be able to speak and see each other at the same time (you may need to have some earphones, depending if your device has a built in speaker or not).⏎PLEASE NOTE PARENTS: As this is our first one,

5. #5 peak

   reasoning or argument; as, to reason one into a belief; to reason one out of his plan.⏎11.

6. #6 peak

   referred to as temporal frequency, which emphasizes the contrast to spatial frequency and angular frequency. The period is the duration of one cycle in a repeating event, so the period is the reciprocal of the frequency.⏎Deutsch: Fabrik / Español: F

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

   weak) evidence against it, then it is surprising how much hand sanitiser we are going through.⏎* There is very very little work out there, so it is great to see this study but it does have

2. #2 peak

   that person be a qualified elector for such office. Article IX, Section 1, of the 1843 constitution, on which this section is based, read: “No person shall be eligible to any civil office (except the

3. #3 peak

   brief, the fixed assets turnover ratio formula is: Net Sales/Plant and Equipment.⏎In some applications the “cost of goods sold" is used instead of net sales, such that the ratio is calculated using this formula: Fixed Asset Turnover Ratio

4. #4 peak

   x) = 2x√(1+x6)⏎Comment. There is no need to integrate and then differentiate by x.⏎If you want to type x6 instead of x^6 simply type x6, highlight only 6 and click

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.