INDEX

Explanations

phrases related to service industry roles like attendants, bartenders, and wait staff

oai_token-act-pair · gpt-3.5-turbo

terms related to service staff and their roles

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.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

izont

-0.97

gments

-0.84

 Schne

-0.83

oho

-0.78

zsche

-0.75

ted

-0.73

Ñĭ

-0.71

zb

-0.71

APD

-0.69

poses

-0.69

POSITIVE LOGITS

 attendant

1.65

 attendants

1.45

maid

1.04

 maid

0.98

 waitress

0.80

 servants

0.80

urion

0.77

 servant

0.77

 waiter

0.77

 baggage

0.76

Activations Density 0.023%

phrases related to service industry roles like attendants, bartenders, and wait staff

terms related to service staff and their roles

No Comments

No Known Activations