INDEX

Explanations

names of people and titles related to films or literature

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.24.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

sor

-0.15

gh

-0.15

olare

-0.15

omm

-0.15

anel

-0.14

enna

-0.14

uration

-0.14

 ofType

-0.14

ereum

-0.13

.anim

-0.13

POSITIVE LOGITS

Sh

0.24

/Sh

0.24

Sh

0.20

_SH

0.19

.Sh

0.19

SH

0.19

sh

0.18

 Ð¨

0.18

(sh

0.17

SID

0.17

Activations Density 0.083%

names of people and titles related to films or literature

No Comments

No Known Activations

names of people and titles related to films or literature

No Comments

No Known Activations