INDEX

Explanations

names of individuals involved in various incidents or events

oai_token-act-pair · gpt-3.5-turbo

names and identifying details of individuals involved in criminal cases

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

 optim

-0.86

 mathemat

-0.84

 bookmark

-0.82

pse

-0.79

lished

-0.78

 relativity

-0.76

olkien

-0.74

 prediction

-0.73

 forecasting

-0.73

 philos

-0.71

POSITIVE LOGITS

Doe

1.09

 Tsarnaev

1.00

quez

0.95

 Martinez

0.89

arnaev

0.88

endez

0.86

esville

0.85

 Bundy

0.84

 defendant

0.84

 Fairfax

0.83

Activations Density 0.502%

names of individuals involved in various incidents or events

names and identifying details of individuals involved in criminal cases

No Comments

No Known Activations