INDEX

Explanations

names of people or entities, particularly surnames

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of people, companies, and institutions

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

liness

-0.66

rupulous

-0.66

anked

-0.65

 glitches

-0.65

 medically

-0.62

swing

-0.61

unal

-0.61

selves

-0.61

ersed

-0.61

ohydrate

-0.60

POSITIVE LOGITS

stown

1.27

 Brothers

1.20

 Bros

1.17

ville

1.16

 County

1.06

 Creek

1.00

sonian

0.94

sburg

0.92

 Farms

0.92

 Sachs

0.91

Activations Density 0.411%

names of people or entities, particularly surnames

proper nouns, particularly names of people, companies, and institutions

No Comments

No Known Activations