INDEX

Explanations

mention of locations, particularly cities in China

oai_token-act-pair · gpt-3.5-turbo

references to locations, specifically cities and towns, in China

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 3-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

etheless

-0.81

 VICE

-0.74

 increment

-0.74

unct

-0.71

adjust

-0.69

 destro

-0.68

gettable

-0.68

dress

-0.67

 compr

-0.66

 saline

-0.64

POSITIVE LOGITS

 Shen

1.16

nai

1.04

 Jing

1.01

zhen

0.96

 Xiang

0.95

 Ying

0.88

zhou

0.87

hua

0.85

venth

0.84

ando

0.84

Activations Density 0.012%

mention of locations, particularly cities in China

references to locations, specifically cities and towns, in China

No Comments

No Known Activations