INDEX

Explanations

references to air quality and air conditioning systems

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.30.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

ecute

-0.18

ofday

-0.16

essen

-0.16

lom

-0.15

redient

-0.15

mam

-0.15

 Morrow

-0.15

esion

-0.15

aires

-0.14

enchmark

-0.14

POSITIVE LOGITS

 conditioning

0.36

condition

0.35

-condition

0.35

 conditioner

0.32

waves

0.31

bnb

0.30

 Conditioning

0.29

brush

0.28

speed

0.27

ways

0.26

Activations Density 0.037%

references to air quality and air conditioning systems

No Comments

No Known Activations