INDEX

Explanations

legal and procedural terms, such as sections of laws and official procedures

oai_token-act-pair · gpt-3.5-turbo

legal and governmental processes

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

Weiss

-0.84

 Weiss

-0.84

 Boone

-0.79

 Asheville

-0.79

 Florida

-0.78

 Pittsburgh

-0.76

 Vermont

-0.76

 Staten

-0.75

 Ohio

-0.75

 Montana

-0.75

POSITIVE LOGITS

jriwal

1.38

 lakh

1.25

 Bengal

1.18

 learnt

1.18

 Hyder

1.18

umbai

1.18

 Hindi

1.16

 Aadhaar

1.15

 Tamil

1.14

 Kejriwal

1.13

Activations Density 1.629%

legal and procedural terms, such as sections of laws and official procedures

legal and governmental processes

No Comments

No Known Activations