INDEX

Explanations

words related to military and law enforcement special units such as Navy SEALs and SWAT teams

oai_token-act-pair · gpt-3.5-turbo

terms related to military operations and special forces units

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

au

-0.82

una

-0.80

gged

-0.78

kj

-0.74

usions

-0.71

qu

-0.71

Reviewer

-0.70

ais

-0.70

Torrent

-0.68

bris

-0.68

POSITIVE LOGITS

 sniper

0.97

 snipers

0.93

rats

0.83

 rifle

0.78

 shooters

0.78

 rifles

0.78

 retrie

0.77

 Sniper

0.75

 Commando

0.73

 soldier

0.72

Activations Density 0.047%

words related to military and law enforcement special units such as Navy SEALs and SWAT teams

terms related to military operations and special forces units

No Comments

No Known Activations