INDEX

Explanations

words related to pharmaceutical companies or medications

oai_token-act-pair · gpt-3.5-turbo

suffixes related to processes or products, particularly in a corporate or pharmaceutical context

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

rab

-0.86

rap

-0.86

istics

-0.83

heast

-0.82

rons

-0.80

rity

-0.80

uras

-0.78

vag

-0.77

raf

-0.77

inates

-0.74

POSITIVE LOGITS

OPLE

0.92

ZZ

0.67

odcast

0.66

ayed

0.66

ck

0.65

INK

0.65

ORTS

0.64

ATURES

0.64

ower

0.63

Activations Density 0.040%

words related to pharmaceutical companies or medications

suffixes related to processes or products, particularly in a corporate or pharmaceutical context

No Known Activations