INDEX

Explanations

keywords related to specific zones or areas

oai_token-act-pair · gpt-3.5-turbo

references to specific zones and their characteristics

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

sonian

-0.86

tons

-0.81

utive

-0.81

anooga

-0.80

aldi

-0.79

FUL

-0.78

issance

-0.77

NECT

-0.77

thora

-0.77

bourg

-0.73

POSITIVE LOGITS

 zone

1.04

 zones

1.04

 dwell

0.94

 deline

0.77

 boundary

0.77

 area

0.75

 Zone

0.74

 adjacent

0.74

 boundaries

0.73

 areas

0.72

Activations Density 0.039%

keywords related to specific zones or areas

references to specific zones and their characteristics

No Comments

No Known Activations