unclear: 'selected' and 'shape' in mixed text

What this neuron does

This neuron fires on a grab bag of words, most often 'selected' right after 'randomly'. It goes quiet, or negative, on machine learning terms like 'supervised learning' and 'image classification'. Turning it up made the text wander 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

   1 and NOS' bathymetry models. Using ArcView GIS software, the digitized habitat maps are stratified to select sampling stations. Sites are randomly selected within these strata to ensure coverage of the entire

2. #2 peak

   rights and freedoms,” National Congress of Australia’s First Peoples co-chair Rod Little said.⏎Assistant Minister for Social Services and Multicultural Affairs Minister Zed Seselja described the UN criticisms as “bizarre”.⏎The UN report followed harsh interim

3. #3 peak

   half will be randomly selected to receive an unconditional $33<|endoftext|>January 11, 20

4. #4 peak

   their find during efforts to study a rare human blood disorder caused by mutations in a gene called PIG-A. According to Cheng, a good model to study the disease does not exist as engineered mice without the gene either die before birth

5. #5 peak

   shape of things to come for women will be shorter and plumper, and it's

6. #6 peak

   shape them using a jigsaw. 3. Drill holes in the stringers and

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

   "These target transformations can be specifically assigned for distinct functions such as image classification and segmentation," explains project lead Aydogan Ozcan, professor at the University

2. #2 peak

   the input-output pair. It is called supervised learning because the process of an algorithm learning from the training dataset can be thought of as

3. #3 peak

   supervised, and Reinforcement Learning.⏎Start with the question, “Do you have a Target Variable?” If the answer is ‘Yes’, it is a supervised learning problem, and if the answer is ‘No’, it

4. #4 peak

   solution to diagnose their plants at any time and at very low cost. It is in this context that we decided to set up a system based on convolutional neural networks for the detection of “Swollen shoot”.⏎2. Convolutional Neural

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.