INDEX

Explanations

phrases related to specific years and occupations

oai_token-act-pair · gpt-3.5-turbo

references to individual ages and their associated professions or roles

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

zees

-0.84

ombies

-0.82

ravings

-0.81

ittens

-0.80

Players

-0.73

 hordes

-0.73

 Teams

-0.73

kids

-0.73

gements

-0.72

 kittens

-0.71

POSITIVE LOGITS

 graduate

1.11

 member

1.03

 veteran

1.01

 consultant

0.99

 resident

0.97

 alum

0.96

 expert

0.95

 freelance

0.94

 doctoral

0.94

 attorney

0.93

Activations Density 0.148%

phrases related to specific years and occupations

references to individual ages and their associated professions or roles

No Comments

No Known Activations