INDEX

Explanations

proper nouns related to various topics like movies, hurricanes, music genres, diseases, and holidays

oai_token-act-pair · gpt-3.5-turbo

specific names or labels related to various categories or topics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.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

 Mara

-0.73

 misinterpret

-0.68

 recurring

-0.68

 compounded

-0.66

 layered

-0.60

 misunderstanding

-0.59

 formerly

-0.58

 stunning

-0.58

BMC

-0.58

 Hasan

-0.58

POSITIVE LOGITS

ument

1.14

ility

1.12

veyard

1.07

ipment

1.06

iety

1.04

ramid

0.99

uments

0.97

icide

0.96

usalem

0.95

antic

0.94

Activations Density 0.226%

proper nouns related to various topics like movies, hurricanes, music genres, diseases, and holidays

specific names or labels related to various categories or topics

No Comments

No Known Activations