INDEX

Explanations

locations or places related to neighborhoods

oai_token-act-pair · gpt-3.5-turbo

proper nouns related to specific people and franchises

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

terday

-0.80

lihood

-0.71

uberty

-0.67

andestine

-0.66

Ì¶

-0.66

netflix

-0.66

Jav

-0.66

OPLE

-0.65

 sober

-0.63

 Plain

-0.63

POSITIVE LOGITS

 Gund

1.14

elta

0.96

anium

0.86

otal

0.82

emonium

0.82

rys

0.80

auld

0.79

 redes

0.77

ersen

0.77

zik

0.74

Activations Density 0.007%

locations or places related to neighborhoods

proper nouns related to specific people and franchises

No Comments

No Known Activations