INDEX

Explanations

words related to urban locations or urban activities

oai_token-act-pair · gpt-3.5-turbo

words related to disturbances or disruptions in content

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 eyes

-0.70

 Tactics

-0.65

Tokens

-0.63

 Cody

-0.62

 Kass

-0.59

 Miss

-0.59

 Omega

-0.59

 scratch

-0.59

 Spartans

-0.58

 Vanguard

-0.58

POSITIVE LOGITS

urb

4.77

urbed

1.69

urban

1.36

ur

1.16

UR

1.07

Ã¼r

1.06

urity

1.00

insula

0.98

uria

0.97

inent

0.96

Activations Density 0.021%

words related to urban locations or urban activities

words related to disturbances or disruptions in content

No Comments

No Known Activations