INDEX

Explanations

keywords related to medical topics, such as "medical examination", "health", and "medical care"

oai_token-act-pair · gpt-3.5-turbo

references to medical topics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 --------------------

-0.82

peak

-0.71

 Modes

-0.67

 ----------------

-0.66

gger

-0.64

 Rocks

-0.62

Platform

-0.62

tops

-0.62

ITE

-0.61

chev

-0.61

POSITIVE LOGITS

 medical

3.44

medical

2.82

Medical

2.78

 Medical

2.53

 biomedical

2.13

 physician

2.01

 doctors

2.00

 medicine

1.99

 veterinary

1.98

 physicians

1.95

Activations Density 0.016%

keywords related to medical topics, such as "medical examination", "health", and "medical care"

references to medical topics

No Comments

No Known Activations