INDEX

Explanations

proper nouns related to legal and sports contexts

oai_token-act-pair · gpt-3.5-turbo

names of people and places

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

ships

-0.92

hips

-0.87

OHN

-0.81

leeve

-0.74

ship

-0.73

shapeshifter

-0.70

 Subtle

-0.69

AAP

-0.69

Vector

-0.66

Liquid

-0.64

POSITIVE LOGITS

Dum

1.36

pty

1.09

plings

0.91

ont

0.90

minist

0.88

pling

0.87

mer

0.87

rier

0.85

plin

0.84

borgh

0.82

Activations Density 0.011%

proper nouns related to legal and sports contexts

names of people and places

No Comments

No Known Activations