INDEX

Explanations

company or organization names

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of companies and organizations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

istically

-0.85

istic

-0.72

less

-0.70

birds

-0.68

liest

-0.68

rette

-0.68

otos

-0.66

rous

-0.65

ning

-0.64

spir

-0.64

POSITIVE LOGITS

mith

1.61

hips

1.48

pring

1.45

peed

1.43

chool

1.42

ystem

1.41

hift

1.41

pace

1.38

hip

1.36

Activations Density 0.385%

company or organization names

proper nouns, particularly names of companies and organizations

No Comments

No Known Activations