INDEX

Explanations

names of specific individuals or organizations

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names related to individuals and places

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

haust

-0.73

ificial

-0.71

orate

-0.70

kish

-0.69

ials

-0.68

ifix

-0.68

cial

-0.68

sets

-0.67

uncture

-0.66

entious

-0.66

POSITIVE LOGITS

 Plaza

0.98

baugh

0.75

hurst

0.73

 Mellon

0.73

 Laboratories

0.71

abba

0.70

hee

0.69

dale

0.68

phrine

0.68

 Enterprises

0.67

Activations Density 0.004%

names of specific individuals or organizations

proper nouns, particularly names related to individuals and places

No Comments

No Known Activations