INDEX

Explanations

words related to levels or heights, particularly with negative connotations

oai_token-act-pair · gpt-3.5-turbo

terms related to airborne military operations and environmental impacts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

 Marketable

-0.89

esson

-0.77

 Rica

-0.68

 McKenna

-0.67

 Sawyer

-0.67

 Norris

-0.66

 Compass

-0.66

herty

-0.65

 Issa

-0.64

ABE

-0.63

POSITIVE LOGITS

based

1.23

level

1.03

floor

1.02

condition

1.00

saving

1.00

sensitive

0.98

mounted

0.98

surface

0.97

brew

0.97

oriented

0.96

Activations Density 0.092%

words related to levels or heights, particularly with negative connotations

terms related to airborne military operations and environmental impacts

No Comments

No Known Activations