INDEX

Explanations

proper nouns related to geographical locations

oai_token-act-pair · gpt-3.5-turbo

references to specific geographical locations or institutions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 11-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.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

veyard

-0.68

quo

-0.62

 fallacy

-0.62

wered

-0.61

framework

-0.60

herer

-0.60

lando

-0.59

ebook

-0.59

 process

-0.59

jriwal

-0.59

POSITIVE LOGITS

's

1.10

 Dynamics

0.87

 Poly

0.80

 Airlines

0.79

 Airways

0.78

 Telecom

0.78

Disk

0.77

 Calling

0.74

 Consolid

0.73

 Electric

0.73

Activations Density 0.222%

proper nouns related to geographical locations

references to specific geographical locations or institutions

No Comments

No Known Activations