INDEX

Explanations

keywords related to specific locations or entities

oai_token-act-pair · gpt-3.5-turbo

proper nouns and geographic references, particularly related to locations

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

ĸļ

-0.75

waukee

-0.73

owsky

-0.69

tumblr

-0.65

 Amos

-0.65

 Beats

-0.64

Hill

-0.63

 Alloy

-0.60

 Spectre

-0.59

 Nottingham

-0.59

POSITIVE LOGITS

isco

0.77

uese

0.75

Ã¡

0.70

Ħ¢

0.68

abulary

0.66

Ń

0.66

º

0.65

cially

0.65

ĳ

0.65

uana

0.64

Activations Density 0.077%

keywords related to specific locations or entities

proper nouns and geographic references, particularly related to locations

No Comments

No Known Activations

keywords related to specific locations or entities

proper nouns and geographic references, particularly related to locations

No Comments

No Known Activations