INDEX

Explanations

company names and organizations in the business and technology sector

oai_token-act-pair · gpt-3.5-turbo

corporate and brand names within business contexts

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

 poems

-0.82

 bapt

-0.78

 Trayvon

-0.75

 recess

-0.73

 poem

-0.72

 Caleb

-0.71

 canon

-0.71

 Miranda

-0.70

 Cody

-0.70

 verse

-0.70

POSITIVE LOGITS

 Companies

1.21

 companies

1.18

Companies

1.17

 Holdings

1.16

Company

1.15

 subsidiaries

1.15

 firms

1.13

 pricing

1.09

 suppliers

1.08

Sales

1.05

Activations Density 0.574%

company names and organizations in the business and technology sector

corporate and brand names within business contexts

No Comments

No Known Activations