INDEX

Explanations

references to wet conditions or wetness

oai_token-act-pair · gpt-3.5-turbo

references to wet conditions or environments

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

allery

-0.76

*/(

-0.72

udic

-0.70

vernment

-0.69

CVE

-0.68

akespe

-0.67

osite

-0.66

ZA

-0.63

uador

-0.63

perty

-0.63

POSITIVE LOGITS

ting

1.12

wet

1.04

ter

1.00

ness

0.97

ted

0.96

Wet

0.94

ters

0.91

 nood

0.86

lock

0.86

bag

0.82

Activations Density 0.010%

references to wet conditions or wetness

references to wet conditions or environments

No Comments

No Known Activations