INDEX

Explanations

proper nouns related to specific people or organizations

oai_token-act-pair · gpt-3.5-turbo

occurrences of empty text or whitespace

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

acular

-0.84

oshenko

-0.75

 rall

-0.73

orius

-0.71

orative

-0.69

uyomi

-0.68

afort

-0.67

llular

-0.65

pmwiki

-0.64

ition

-0.64

POSITIVE LOGITS

ancock

0.87

ospital

0.80

ansen

0.72

arrison

0.71

idays

0.71

 Abedin

0.70

aida

0.70

iday

0.69

azard

0.68

wig

0.68

Activations Density 0.263%

proper nouns related to specific people or organizations

occurrences of empty text or whitespace

No Comments

No Known Activations