INDEX

Explanations

mentions of legal terms and institutions, focusing on words related to "Fair" such as "Fairfax," "Fair Lawn," and "Fair Trade."

oai_token-act-pair · gpt-3.5-turbo

occurrences of the word "Fair" and its variations in various contexts

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

OPLE

-0.72

 bottleneck

-0.63

 catapult

-0.60

Kut

-0.60

 heck

-0.60

 Unch

-0.59

apse

-0.58

 headache

-0.58

 bracelet

-0.57

 headaches

-0.57

POSITIVE LOGITS

grounds

1.45

banks

1.24

child

1.22

yt

1.14

mont

1.08

ground

1.06

fax

1.05

weather

1.02

leigh

1.02

fair

1.00

Activations Density 0.018%

mentions of legal terms and institutions, focusing on words related to "Fair" such as "Fairfax," "Fair Lawn," and "Fair Trade."

occurrences of the word "Fair" and its variations in various contexts

No Comments

No Known Activations