INDEX

Explanations

city names or terms related to urban planning and development

oai_token-act-pair · gpt-3.5-turbo

references to cities and urban environments

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 sensitive

-0.75

 daddy

-0.73

ac

-0.73

gag

-0.70

ful

-0.69

 processing

-0.67

 pseud

-0.67

 nont

-0.66

 manip

-0.66

 terminal

-0.65

POSITIVE LOGITS

 Cities

4.04

 Towns

1.67

City

1.48

 Streets

1.43

 Roads

1.43

 Countries

1.41

 Skies

1.40

 Municip

1.36

 Buildings

1.30

 City

1.29

Activations Density 0.019%

city names or terms related to urban planning and development

references to cities and urban environments

No Comments

No Known Activations