INDEX

Explanations

proper nouns related to different locations, events, and organizations

oai_token-act-pair · gpt-3.5-turbo

names of places and institutions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

 seiz

-0.81

onom

-0.79

 Gors

-0.76

 horm

-0.76

eatures

-0.75

 tremend

-0.73

 Adin

-0.72

redit

-0.71

shift

-0.70

 Stam

-0.68

POSITIVE LOGITS

 Foundation

0.84

 fame

0.81

âĦ¢

0.76

;;;;;;;;;;;;

0.75

 frontman

0.72

("

0.70

LLP

0.66

 Festival

0.65

 alum

0.64

Activations Density 0.453%

proper nouns related to different locations, events, and organizations

names of places and institutions

No Comments

No Known Activations