INDEX

Explanations

terms related to vehicles and transportation

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 6-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L6R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.6.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

ãĥ«ãĥķ

-0.19

onica

-0.16

INGER

-0.16

agens

-0.16

quia

-0.15

rani

-0.15

elman

-0.15

alendar

-0.14

 Haut

-0.14

izard

-0.14

POSITIVE LOGITS

pek

0.15

rosse

0.15

xy

0.14

ãģ£ãģį

0.14

Ð¼Ñı

0.14

sud

0.14

eco

0.14

uu

0.13

 merc

0.13

Activations Density 0.569%

terms related to vehicles and transportation

No Comments

No Known Activations