INDEX

Explanations

phrases or names related to specific individuals, such as "Mouri Han" and "Joanne Robini"

oai_token-act-pair · gpt-3.5-turbo

names of individuals and entities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.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

atility

-0.72

ikarp

-0.67

umin

-0.63

kn

-0.63

creen

-0.63

 cakes

-0.61

Ļ½

-0.60

 Supplemental

-0.59

 Pavilion

-0.59

Nap

-0.59

POSITIVE LOGITS

rian

0.74

thro

0.72

ndra

0.71

phrine

0.70

utenant

0.70

ovych

0.69

ãĥ³ãĤ¸

0.68

chuk

0.68

opsis

0.67

ruck

0.67

Activations Density 0.038%

phrases or names related to specific individuals, such as "Mouri Han" and "Joanne Robini"

names of individuals and entities

No Comments

No Known Activations