INDEX

Explanations

words related to economic status and affordability

oai_token-act-pair · gpt-3.5-turbo

phrases related to low-income or low-cost issues

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

ADRA

-0.78

çīĪ

-0.70

EMENT

-0.69

IFA

-0.69

andise

-0.68

frey

-0.67

EMA

-0.65

cellent

-0.65

MAC

-0.64

 Gleaming

-0.64

POSITIVE LOGITS

(<

0.89

imester

0.77

dden

0.69

 clutter

0.68

 pesky

0.67

eco

0.66

nor

0.66

anmar

0.65

yet

0.65

 incidence

0.64

Activations Density 0.241%

words related to economic status and affordability

phrases related to low-income or low-cost issues

No Comments

No Known Activations