INDEX

Explanations

words related to meteorological phenomena, particularly focusing on clouds

oai_token-act-pair · gpt-3.5-turbo

references to various types of clouds, particularly ash clouds

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

Ô

-1.01

thodox

-0.89

éĸ

-0.77

IGN

-0.75

=-=-=-=-

-0.72

MIT

-0.71

================================================================

-0.70

========

-0.70

============

-0.70

Ģ

-0.68

POSITIVE LOGITS

burst

1.24

 clouds

1.00

bows

0.97

 cloud

0.93

 canopy

0.87

iness

0.86

berries

0.81

 ridge

0.81

oing

0.77

drops

0.77

Activations Density 0.008%

words related to meteorological phenomena, particularly focusing on clouds

references to various types of clouds, particularly ash clouds

No Comments

No Known Activations