INDEX

Explanations

words related to specific locations or places

oai_token-act-pair · gpt-3.5-turbo

proper nouns related to geographical locations and specific entities

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

lers

-0.93

las

-0.78

lar

-0.76

layer

-0.74

down

-0.73

breaking

-0.71

icker

-0.71

paren

-0.70

hips

-0.70

aren

-0.70

POSITIVE LOGITS

qua

1.24

zzo

1.12

xon

0.86

eus

0.85

Ã±a

0.84

utonium

0.83

zzi

0.82

osate

0.82

 Rican

0.81

 Rica

0.80

Activations Density 0.026%

words related to specific locations or places

proper nouns related to geographical locations and specific entities

No Comments

No Known Activations