INDEX

Explanations

mentions of seat-related terms such as seat belts or seat numbers

oai_token-act-pair · gpt-3.5-turbo

references to seats and seating arrangements

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

istically

-0.81

operation

-0.69

ishly

-0.68

inational

-0.67

agascar

-0.66

ague

-0.65

issance

-0.64

utenberg

-0.64

TPP

-0.64

istic

-0.64

POSITIVE LOGITS

belt

1.17

 Seat

1.16

seat

1.11

holders

1.09

 seats

1.05

 seat

1.05

holder

1.00

washer

0.99

bars

0.94

mates

0.94

Activations Density 0.016%

mentions of seat-related terms such as seat belts or seat numbers

references to seats and seating arrangements

No Comments

No Known Activations