INDEX

Explanations

words related to lodging, specifically hotels and associations in the hospitality industry

oai_token-act-pair · gpt-3.5-turbo

references related to lighting and illumination concepts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 Hiroshima

-0.74

 Magnum

-0.74

 Worlds

-0.69

prototype

-0.68

 stump

-0.68

 Remastered

-0.66

 Royale

-0.65

Zed

-0.64

WS

-0.64

OK

-0.63

POSITIVE LOGITS

atures

1.21

ature

0.99

orescent

0.98

ament

0.98

atory

0.96

atories

0.93

ibility

0.92

uct

0.91

ures

0.91

alties

0.90

Activations Density 0.024%

words related to lodging, specifically hotels and associations in the hospitality industry

references related to lighting and illumination concepts

No Comments

No Known Activations