INDEX

Explanations

words related to specific geographic locations, such as Eastern Samar

oai_token-act-pair · gpt-3.5-turbo

names of locations and individuals relevant to specific incidents

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

Lenin

-0.85

opp

-0.79

Bomb

-0.75

agnar

-0.72

 centrif

-0.72

educ

-0.71

 axes

-0.71

bard

-0.71

division

-0.70

cens

-0.70

POSITIVE LOGITS

 Snapchat

1.59

eson

1.43

 misdemeanor

1.39

 Greene

1.38

 Lauren

1.29

 Samar

1.28

 synthetic

1.24

 Monroe

1.24

 lapse

1.22

 Herrera

1.10

Activations Density 0.036%

words related to specific geographic locations, such as Eastern Samar

names of locations and individuals relevant to specific incidents

No Comments

No Known Activations