INDEX

Explanations

references to penalties or fouls in sports contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.23.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

essler

-0.17

urg

-0.16

ç¸

-0.15

à¹Ĥà¸Ī

-0.15

DefaultValue

-0.15

æ³

-0.14

.sn

-0.14

ISTA

-0.14

abd

-0.14

oku

-0.14

POSITIVE LOGITS

fou

0.23

 infra

0.23

 foul

0.22

 yellow

0.21

infra

0.21

 penalty

0.20

Fou

0.19

 penalties

0.19

 susp

0.18

yellow

0.18

Activations Density 0.044%

references to penalties or fouls in sports contexts

No Comments

No Known Activations