INDEX

Explanations

specific names and terms related to characters and narratives in 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 @ 2-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.2.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

UMAN

-0.15

 Ð²Ð¾ÑĢ

-0.15

edir

-0.15

umu

-0.14

alian

-0.14

åĭĴ

-0.14

unik

-0.14

ê²½ìłľ

-0.14

PTS

-0.14

cour

-0.14

POSITIVE LOGITS

King

0.16

hill

0.15

dale

0.15

istes

0.15

/pub

0.15

 King

0.14

 Beetle

0.14

yet

0.14

inch

0.14

Activations Density 0.269%

specific names and terms related to characters and narratives in films or literature

No Comments

No Known Activations