INDEX

Explanations

professional titles and roles, as well as mentions of names in sentences

oai_token-act-pair · gpt-3.5-turbo

phrases associated with legal or criminal contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

Â¶

-0.57

iquette

-0.56

+++

-0.55

DATA

-0.55

 correction

-0.53

dark

-0.53

pac

-0.52

 âĢº

-0.52

 Scand

-0.51

 extremes

-0.50

POSITIVE LOGITS

iHUD

0.79

 respectively

0.75

 whom

0.72

 attest

0.66

nown

0.64

icer

0.62

 assassinated

0.62

soDeliveryDate

0.62

anwhile

0.61

 incidentally

0.60

Activations Density 1.246%

professional titles and roles, as well as mentions of names in sentences

phrases associated with legal or criminal contexts

No Comments

No Known Activations