INDEX

Explanations

concepts related to incentives and financial motivations in healthcare and regulatory contexts

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.24.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

elay

-0.15

 buffering

-0.14

imony

-0.14

ednou

-0.14

#__

-0.14

morgan

-0.14

Æ°á»£ng

-0.14

ìĨ

-0.14

igon

-0.14

 Bills

-0.14

POSITIVE LOGITS

 incentive

0.77

 incentives

0.74

 reward

0.65

 incentiv

0.63

 incent

0.59

 rewards

0.57

 Reward

0.54

 bonus

0.51

reward

0.51

 Rewards

0.49

Activations Density 0.401%

concepts related to incentives and financial motivations in healthcare and regulatory contexts

No Comments

No Known Activations