INDEX

Explanations

proper nouns related to companies and organizations

oai_token-act-pair · gpt-3.5-turbo

names of companies and organizations involved in various industries

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

jriwal

-0.80

 coma

-0.79

 characteristic

-0.76

 "$:/

-0.71

soDeliveryDate

-0.71

 bapt

-0.70

aucuses

-0.70

 binge

-0.70

 typical

-0.68

 overflowing

-0.68

POSITIVE LOGITS

 Enterprises

1.75

 Holdings

1.68

 Technologies

1.66

 Industries

1.62

 Consulting

1.61

 Associates

1.59

 Investments

1.56

 Productions

1.56

 Products

1.53

 Ventures

1.52

Activations Density 0.529%

proper nouns related to companies and organizations

names of companies and organizations involved in various industries

No Comments

No Known Activations