INDEX

Explanations

Explaining Neuron ActivityI'm currently focused on synthesizing information from `TOP_POSITIVE_LOGITS`, `TOP_ACTIVATING_TEXTS`, `MAX_ACTIVATING_TOKENS`, and `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` to articulate a neuron's behavior. My aim is to distill these inputs into a succinct and insightful phrase for an expert audience.Let's examine the provided lists:- TOP\_POSITIVE\_LOGITS: `ب`, `ванням`, `lemn`, `()=>{`, `é`, `tarda`, `ensos`, `myer`, `позво`, `τό` * This list contains a mix of characters, partial words, and what appears to be a programming construct (`()=>{`). There are also non-Latin characters, suggesting potential multilingual or special character handling.- MAX\_ACTIVATING\_TOKENS: This list is not provided, so I cannot directly analyze the specific tokens that led to activation.- TOKENS\_AFTER\_MAX\_ACTIVATING\_TOKEN: This list is also not provided.- TOP\_ACTIVATING\_TEXTS: * `------------|-----------------------|------------------------| | Mercury | 0 | 0.39 | | Venus | 0 | 0.72 | | Earth | 1 |` * Keywords: Mercury, Venus, Earth (planets). The format suggests structured data, possibly tables. * `-------|---------------------------------------|-----------| | Shell out | Pay | General payment | Neutral | | Shell out | Spend | General payment | Neutral | | Shell out | Fork over ` * Keywords: Shell out, Pay, Spend, Fork over (payment/spending). Again, looks like structured data. * `/Fail | Comments/Observations | |------|-----------------------------------------------|-----------------------------------------------|-----------|-----------------------| | 1 | Initiate a simple task scheduling cycle. | Task 1 initiates and completes within defined timeframe.` * Keywords: Fail, Comments, Initiate, task scheduling, timeframe. * ` Evidence | |--------------------|------------------------|----------------------------------------------------|---------------------------|----------------------------------------------------| | Nature of Constructs | They represent real, underlying processes. | * Neuroscience: Brain imaging (f` * Keywords: Evidence, Nature of Constructs, processes, Neuroscience, Brain imaging. * `--|--------------------------|--------------------------| | Purpose | General-purpose processing | Graphics processing | | Architecture | Few powerful cores | Many smaller cores | | Task Type |` * Keywords: Purpose, General-purpose processing, Graphics processing, Architecture, cores, Task Type. * `-----------------| | Welcome Bonus | 20,000 points | $100 | | Monthly Spending Bonus | 10,000 points per month (minimum $1,000` * Keywords: Welcome Bonus, points, Spending Bonus (rewards/bonuses). * `| AIK | Hammarby IF | |--------------------|------------------------------------|------------------------------------| | Titles | Most (18) | Fewer (7) | | **Fanbase` * Keywords: AIK, Hammarby IF (sports/teams?), Titles, Fanbase. * `| Priority | Test Method | Expected Result | |---|---|---|---|---|---|---| | TC-CAN-001 | Valid Message Reception: Simulate a valid` * Keywords: Priority, Test Method, Expected Result, Valid Message Reception. * ` Table:** | Data Type | Description | Example | | --------- | ----------------------- | ---------------- | | String | Text enclosed in quotes | `"Hello"` | | Number | Integer or floating-point` * Keywords: Table, Data Type, Description, Example, String, Number. * `Estimated Cost | Percentage of Total | Notes & Justification | |---|---|---|---|---| | 1. Personnel Costs** | Salaries & Wages | $500,000 - $2,` * Keywords: Estimated Cost, Percentage of Total, Personnel Costs, Salaries, Wages.Pattern Identification:The `TOP_ACTIVATING_TEXTS` strongly suggest the neuron is activated by structured information, particularly text presented in tables or lists that defines items, their properties, or associated values. Many examples show a pattern of labels followed by data or descriptions. The `TOP_POSITIVE_LOGITS` support this with fragments that might appear in headers or data fields, and the `()=>{` could point to programmatic table generation or data structures.Explanation:structured lists and tables

New Auto-Interp

Configuration

Prompts (Dashboard)

238,145 prompts, 512 tokens each

Dataset (Dashboard)

lmsys + oasst1

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

ം

2.43

ు

2.08

+}$

2.02

 bunch

2.01

ة

1.94

ి

1.89

ed

1.85

ي

1.83

ึ

1.82

е

1.77

POSITIVE LOGITS

ب

2.49

ванням

1.84

 lemn

1.71

()=>{

1.66

é

1.64

 tarda

1.61

ensos

1.58

myer

1.58

 позво

1.57

τό

1.57

Activations Density 0.118%