numbers and offsets in formulas and code

What this neuron does

This neuron fires on numbers and index positions inside maths formulas and code, like the 0 in 'multiply by 100' or the bracket in 'len(array)'. Turning it up did not produce anything clearly about numbers.

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

   ’s try this with a while loop:⏎given_arr = [1, 2, 3, 4, 5] i = len(given_arr) - 1 while(i >= 0): print(given_arr[i]) i

2. #2 peak

   case of a number, you can use the following formulas: 1350pc, x, or %. Then, multiply the result by 100 to get the percent. This method is also useful for finding the exact value of

3. #3 peak

   ways. Arranging eight different tiems in a line can be done in 8×7×6×5×4×3×2×1 ways,

4. #4 peak

   to know its total mark. In order to find this, use basic arithmetic. Divide the mark by the highest possible mark and multiply the answer by 100 to get the percent. Alternatively, you can try using

5. #5 peak

   If we want to iterate an array in reverse order, we need to create a sequence for the for loop using range with:⏎- start as length of the array - 1⏎- stop as -<|endoftext|>12 April 1953

6. #6 peak

   1991-1995⏎The materials in this archive are copyright © The Manitoba Library Association. Reproduction for personal use is permitted only if this copyright notice is maintained. Any other reproduction is prohibited without permission Copyright information for reviewers

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

   6,000-lb load would use the following calculation:⏎[(4,000 lbs + 6,000 lbs) × 1.25] ÷ 4 = 3,125 lbs

2. #2 peak

   ance for product A is (90,000 – 100,000) *

3. #3 peak

   of capital, or they will invest elsewhere.⏎The following is the WACC calculation formula:⏎WACC = E/V × Re + D/V × Rd × (1 - Tc)⏎Re = cost of equity⏎Rd = cost of debt

4. #4 peak

   . So to solve the second part, on average, we need to find five correct answers per four tests. Is it true that a(5) ≤ 4? If so, can we use it to show that a(30)

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.