INDEX

Explanations

names or phrases related to specific geographic locations

oai_token-act-pair · gpt-3.5-turbo

geographic locations and proper nouns

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

falls

-0.82

orem

-0.75

holding

-0.72

bread

-0.63

HP

-0.61

omb

-0.61

 miscarriage

-0.59

OSP

-0.59

iles

-0.58

stru

-0.58

POSITIVE LOGITS

ulhu

0.77

 Pradesh

0.71

xual

0.66

 Bicycle

0.65

phrine

0.65

jriwal

0.65

','

0.65

 Lumpur

0.65

unia

0.64

oldemort

0.63

Activations Density 0.228%

names or phrases related to specific geographic locations

geographic locations and proper nouns

No Comments

No Known Activations