INDEX

Explanations

proper nouns related to institutions or locations

oai_token-act-pair · gpt-3.5-turbo

specific names or references to locations 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

href

-0.88

vana

-0.88

ngth

-0.79

Äĩ

-0.78

saf

-0.74

isSpecialOrderable

-0.72

orders

-0.71

profits

-0.71

inventoryQuantity

-0.70

ikarp

-0.70

POSITIVE LOGITS

 County

1.65

 Heights

1.21

shire

1.21

 Township

1.15

 Island

1.14

 Valley

1.12

ville

1.05

 Street

1.02

 Islands

1.01

 Hills

0.99

Activations Density 0.187%

proper nouns related to institutions or locations

specific names or references to locations and institutions

No Comments

No Known Activations