INDEX

Explanations

phrases related to titles of books, movies, or albums

oai_token-act-pair · gpt-3.5-turbo

titles or names of films and books

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

 referen

-0.87

 chem

-0.79

nav

-0.73

 credential

-0.69

 carbohyd

-0.69

 councill

-0.66

 advoc

-0.66

itionally

-0.65

 attendance

-0.63

atern

-0.63

POSITIVE LOGITS

 Trilogy

0.93

 Reborn

0.91

 Reloaded

0.91

 Deadly

0.89

 Remix

0.89

 Collection

0.86

 Seasons

0.85

 Productions

0.84

 Written

0.83

 Lonely

0.83

Activations Density 0.300%

phrases related to titles of books, movies, or albums

titles or names of films and books

No Known Activations