INDEX

Explanations

references to physical seating areas, particularly emphasizing the presence of seat belts

oai_token-act-pair · gpt-3.5-turbo

the word "seat" in various contexts

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

vernment

-0.86

ague

-0.78

ovych

-0.71

eff

-0.69

ortium

-0.69

ogle

-0.69

aphael

-0.66

omb

-0.65

icult

-0.65

OOD

-0.65

POSITIVE LOGITS

 seat

1.24

 Seat

1.23

seat

1.22

 seats

1.04

belt

1.01

holders

0.98

bars

0.88

washer

0.88

mates

0.85

holder

0.83

Activations Density 0.011%

references to physical seating areas, particularly emphasizing the presence of seat belts

the word "seat" in various contexts

No Comments

No Known Activations