INDEX

Explanations

instances of dialogue quality and effectiveness in movie critiques

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.26.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

aby

-0.15

iversit

-0.15

ix

-0.14

avicon

-0.14

Formats

-0.14

leh

-0.14

formats

-0.14

 numberWith

-0.14

abus

-0.13

SUMER

-0.13

POSITIVE LOGITS

 dialogue

0.66

 dialog

0.60

 Dialogue

0.57

dialog

0.56

-dialog

0.50

 Dialog

0.50

Dialogue

0.48

 dialogs

0.46

.dialog

0.45

/dialog

0.45

Activations Density 0.113%

instances of dialogue quality and effectiveness in movie critiques

No Comments

No Known Activations