INDEX

Explanations

proper nouns related to people and organizations

oai_token-act-pair · gpt-3.5-turbo

references to former sports teams or organizations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

 Retrieved

-0.67

,,,,

-0.66

emis

-0.66

eway

-0.66

 Vulkan

-0.65

oeuv

-0.64

rather

-0.63

ickle

-0.62

morrow

-0.61

agame

-0.61

POSITIVE LOGITS

 employee

0.81

 stal

0.80

 staffer

0.79

 operative

0.79

 Olympia

0.73

oslov

0.72

 official

0.70

²¾

0.70

 boss

0.69

 Employee

0.67

Activations Density 0.163%

proper nouns related to people and organizations

references to former sports teams or organizations

No Comments

No Known Activations