INDEX

Explanations

words related to specific locations and organizations, such as universities, airports, cities, and events

oai_token-act-pair · gpt-3.5-turbo

specific names of organizations, locations, and notable events

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.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

 facet

-0.53

 substance

-0.53

agame

-0.51

 deduction

-0.51

ibliography

-0.51

jriwal

-0.50

behind

-0.50

 portion

-0.49

 process

-0.49

IBLE

-0.48

POSITIVE LOGITS

!,

0.81

's

0.75

 Avenue

0.65

Â®,

0.65

 Airways

0.64

Flight

0.62

 Airlines

0.61

 Magazine

0.61

!.

0.60

 beforehand

0.60

Activations Density 0.738%

words related to specific locations and organizations, such as universities, airports, cities, and events

specific names of organizations, locations, and notable events

No Comments

No Known Activations