INDEX

Explanations

proper nouns related to legal entities

oai_token-act-pair · gpt-3.5-turbo

mentions of specific law firms and key individuals associated with them

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

resp

-0.74

 Scotia

-0.67

 ante

-0.66

oker

-0.63

EED

-0.62

âķĲ

-0.61

ciation

-0.61

pelling

-0.61

âķĲâķĲ

-0.60

ingu

-0.60

POSITIVE LOGITS

rid

1.05

glers

0.95

wig

0.94

vest

0.91

ora

0.85

annah

0.82

nuts

0.81

warts

0.81

ening

0.80

tar

0.79

Activations Density 0.031%

proper nouns related to legal entities

mentions of specific law firms and key individuals associated with them

No Comments

No Known Activations