INDEX

Explanations

phrases related to specific locations, particularly districts and states

oai_token-act-pair · gpt-3.5-turbo

references to specific districts in legal contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

cially

-0.91

cial

-0.89

cius

-0.84

eches

-0.82

cean

-0.82

aughs

-0.81

cks

-0.77

gyn

-0.76

fty

-0.73

ppo

-0.72

POSITIVE LOGITS

rict

0.89

 Attorney

0.88

 District

0.79

 Marshal

0.78

0.77

 Court

0.77

 attorney

0.71

 attorneys

0.70

 Circuit

0.68

 Supervisor

0.63

Activations Density 0.014%

phrases related to specific locations, particularly districts and states

references to specific districts in legal contexts

No Comments

No Known Activations