INDEX

Explanations

terms related to injury and compensation in legal 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

 Shea

-0.18

å¹¹

-0.17

åį±

-0.15

åĬ¨çĶŁæĪĲ

-0.15

 disasters

-0.15

ycop

-0.15

ãĥ©ãĥ¼

-0.14

idad

-0.14

loat

-0.14

ulence

-0.14

POSITIVE LOGITS

 medical

0.24

 pain

0.23

 lost

0.22

 past

0.22

 future

0.21

Lost

0.20

Future

0.20

Medical

0.20

 bills

0.20

lost

0.19

Activations Density 0.054%

terms related to injury and compensation in legal contexts

No Comments

No Known Activations