INDEX

Explanations

specific medical or health-related terms and phrases

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.31.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

åĢ«

-0.16

UK

-0.14

oke

-0.14

 Britain

-0.13

ä¼¦

-0.13

 Brexit

-0.13

Metrics

-0.13

ahr

-0.13

 metrics

-0.13

Cities

-0.13

POSITIVE LOGITS

 pupils

0.28

 teachers

0.27

 school

0.26

 teacher

0.25

 pupil

0.25

 Teachers

0.25

 parents

0.24

 School

0.23

 Teacher

0.23

 Parents

0.23

Activations Density 0.026%

specific medical or health-related terms and phrases

No Comments

No Known Activations