INDEX

Explanations

names of pubs, hotels, restaurants, and other businesses

oai_token-act-pair · gpt-3.5-turbo

repeated conjunctions and phrases related to hospitality and amenities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.7.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

iev

-0.82

lust

-0.80

obin

-0.76

redo

-0.75

yip

-0.74

terness

-0.71

 milliseconds

-0.69

zi

-0.69

ali

-0.69

èª

-0.68

POSITIVE LOGITS

 gardens

1.01

 entrances

1.01

tyard

0.97

 chapel

0.95

 staffed

0.93

 Rooms

0.91

 dining

0.91

 adjoining

0.90

 Gardens

0.90

Spa

0.90

Activations Density 0.555%

names of pubs, hotels, restaurants, and other businesses

repeated conjunctions and phrases related to hospitality and amenities

No Comments

No Known Activations