INDEX

Explanations

quantitative metrics related to automotive performance

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

gart

-0.15

isser

-0.14

NullException

-0.14

hek

-0.14

 temper

-0.14

vÃ¤

-0.14

AndGet

-0.13

 rost

-0.13

ikit

-0.13

 toler

-0.13

POSITIVE LOGITS

 torque

0.39

Tor

0.39

Tor

0.38

tor

0.34

tor

0.34

TOR

0.31

TOR

0.27

tq

0.26

Nm

0.25

-t

0.22

Activations Density 0.010%

quantitative metrics related to automotive performance

No Comments

No Known Activations