INDEX

Explanations

names of medications

oai_token-act-pair · gpt-3.5-turbo

words or phrases related to specific legal or regulatory terms and classifications

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

sid

-0.65

 wast

-0.64

 handic

-0.64

 wrist

-0.63

 RELE

-0.63

 puzz

-0.62

ASC

-0.60

 blind

-0.60

 metast

-0.60

 tight

-0.59

POSITIVE LOGITS

arie

0.92

idation

0.91

gettable

0.90

idy

0.89

ote

0.88

ÃŃn

0.88

opa

0.87

fleet

0.87

acular

0.87

usk

0.86

Activations Density 0.260%

names of medications

words or phrases related to specific legal or regulatory terms and classifications

No Comments

No Known Activations