INDEX

Explanations

names, particularly names with the prefix "Bernad-" and different variations of the prefix "Biopharmaceutical."

oai_token-act-pair · gpt-3.5-turbo

names and identifying labels associated with people or entities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

irlf

-0.78

doi

-0.77

uyomi

-0.73

yip

-0.69

mega

-0.66

osate

-0.66

espie

-0.65

oi

-0.64

 chalk

-0.62

yp

-0.62

POSITIVE LOGITS

enment

0.66

Constructed

0.66

ixt

0.64

enegger

0.64

ello

0.59

ãĥĨãĤ£

0.58

ille

0.57

llor

0.57

 Sabha

0.57

anners

0.57

Activations Density 0.156%

names, particularly names with the prefix "Bernad-" and different variations of the prefix "Biopharmaceutical."

names and identifying labels associated with people or entities

No Comments

No Known Activations