INDEX

Explanations

phrases related to being on board a vehicle or a vessel

oai_token-act-pair · gpt-3.5-turbo

references to being aboard or onboard ships or vehicles

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

itar

-0.87

utenberg

-0.82

nesota

-0.81

ulative

-0.78

ocene

-0.76

enegger

-0.73

nyder

-0.73

olson

-0.72

cellence

-0.68

ogun

-0.67

POSITIVE LOGITS

 aboard

1.07

HMS

0.99

 boarding

0.85

 Admir

0.81

 onboard

0.78

 Sail

0.77

 yacht

0.75

 hangar

0.73

 ship

0.72

 Ships

0.71

Activations Density 0.010%

phrases related to being on board a vehicle or a vessel

references to being aboard or onboard ships or vehicles

No Comments

No Known Activations