unclear: code assignments and parentheses

What this neuron does

This neuron fires on a mix of small things: an equals sign in code, an opening bracket after an assignment, and the word 'see' before a reference. There is no clear single theme. Turning it up made the model write long strings of brackets.

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

   ⏎But here thing is, save() method can return that primary key id value which is generated by hibernate and we can see it by⏎long s = session.save(k);⏎In this same case, persist() will never give any value

2. #2 peak

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3. #3 peak

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4. #4 peak

   of the two overloaded versions provided in C++.⏎/* memchr example */⏎int main ()⏎char * pch;⏎char str = "Example string";⏎pch = (char

5. #5 peak

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6. #6 peak

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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

   ⏎t0=0; %set the initial time to zero⏎tend=1; %set the final time to 100⏎tspan=[t0 tend]; %need to use it in this form in MATLAB

2. #2 peak

   God and the Holy<|endoftext|>Previous: [SVG] How to draw a rectangle?⏎<svg height="210" width="500"> <polygon points="200,10 250,190

3. #3 peak

   martix. It is an extension of Bullseye matrix problem.⏎Who has power to do everything in this world?⏎Close MATLAB with keyboard⏎Find the treasures in MATLAB Central and discover how the community can help you!⏎Choose a web site to

4. #4 peak

   55972031988413967-1-768x146-1-300x57.png admin2021-10-20

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.