INDEX

Explanations

phrases that express satisfaction or dissatisfaction with service and amenities in hospitality settings

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

ancies

-0.15

-0.14

 Guests

-0.14

 vulner

-0.14

onders

-0.14

 tomorrow

-0.14

 lucrative

-0.14

ito

-0.13

POSITIVE LOGITS

 atmosphere

0.39

 environment

0.26

 atmos

0.25

 staff

0.25

 ambiente

0.24

 ambiance

0.24

 facilities

0.24

staff

0.23

 Atmos

0.23

Staff

0.22

Activations Density 0.194%

phrases that express satisfaction or dissatisfaction with service and amenities in hospitality settings

No Comments

No Known Activations