INDEX

Explanations

proper nouns related to geographical locations or places

oai_token-act-pair · gpt-3.5-turbo

terms related to marine environments and ecosystems

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

bus

-0.78

Bus

-0.77

 Chicago

-0.76

ATL

-0.76

Ki

-0.75

 Booth

-0.74

Mil

-0.74

Chicago

-0.74

Kat

-0.71

Bus

-0.71

POSITIVE LOGITS

 reef

3.76

 reefs

3.53

 Reef

3.32

 coral

2.70

 Coral

1.86

 algae

1.66

 aquarium

1.35

 crabs

1.32

 freshwater

1.32

 seaw

1.30

Activations Density 0.017%

proper nouns related to geographical locations or places

terms related to marine environments and ecosystems

No Comments

No Known Activations