INDEX

Explanations

words related to movie industry and entertainment

oai_token-act-pair · gpt-3.5-turbo

conjunctions related to movies and music

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.11.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

Ö¼

-0.81

alore

-0.79

 Akin

-0.79

lde

-0.79

 Mare

-0.70

aram

-0.68

 Bene

-0.68

apore

-0.68

 Kappa

-0.67

 laure

-0.67

POSITIVE LOGITS

 pedestrians

0.93

 tablets

0.72

 tablet

0.71

tumblr

0.71

 Chips

0.71

 Jinn

0.71

\/\/

0.69

 psychiatry

0.69

STD

0.69

 towns

0.69

Activations Density 0.229%

words related to movie industry and entertainment

conjunctions related to movies and music

No Comments

No Known Activations