INDEX

Explanations

proper nouns related to government organizations or agencies

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs6144-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_6144

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

6,144

Data Type

torch.float32

Hook Point

blocks.8.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

enger

-0.76

ullivan

-0.71

eva

-0.71

enhagen

-0.69

chnology

-0.67

resp

-0.66

ying

-0.66

furt

-0.64

pus

-0.64

 beware

-0.64

POSITIVE LOGITS

 Geographic

1.29

 Institutes

1.08

ity

1.02

 Rifle

0.96

 Security

0.91

 Anthem

0.88

ities

0.87

 Grid

0.86

 Highway

0.84

 Colleg

0.84

Activations Density 0.066%

proper nouns related to government organizations or agencies

No Comments

No Known Activations