INDEX

Explanations

names of medical professionals and their specialties

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

naire

-0.94

cloth

-0.81

naires

-0.72

holder

-0.67

zona

-0.66

INESS

-0.65

sword

-0.61

heads

-0.61

ãĤ¼ãĤ¦ãĤ¹

-0.60

 Borders

-0.59

POSITIVE LOGITS

iatric

0.93

ractor

0.93

igree

0.91

iatrics

0.91

rative

0.89

hett

0.85

rament

0.85

rology

0.85

ration

0.84

rogen

0.83

Activations Density 0.569%

names of medical professionals and their specialties

No Comments

No Known Activations