INDEX

Explanations

words related to fraudulent activities and schemes

oai_token-act-pair · gpt-3.5-turbo

terms related to fraudulent activities

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 Ange

-0.71

âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ

-0.66

 bruising

-0.66

ŃĶ

-0.63

 vain

-0.62

 Afric

-0.59

 Aram

-0.57

 farewell

-0.56

 stead

-0.56

 Armed

-0.56

POSITIVE LOGITS

ulent

1.73

ulence

1.68

sters

1.55

ster

1.38

ul

1.27

ulators

1.12

ulus

1.11

uli

1.11

ulations

1.04

 perpetrated

1.04

Activations Density 0.048%

words related to fraudulent activities and schemes

terms related to fraudulent activities

No Comments

No Known Activations