INDEX

Explanations

proper nouns related to a particular person or company named "Wrigley"

oai_token-act-pair · gpt-3.5-turbo

mentions of the word "rig" or its derivatives

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

 Leilan

-0.78

 Despair

-0.73

 Worlds

-0.65

etheless

-0.64

figure

-0.62

 Nadu

-0.61

 Virgin

-0.60

terson

-0.60

 Archangel

-0.59

peak

-0.59

POSITIVE LOGITS

uez

1.20

ging

1.17

gling

1.07

gers

0.94

ding

0.93

orously

0.93

uid

0.93

ged

0.92

gs

0.91

rig

0.90

Activations Density 0.027%

proper nouns related to a particular person or company named "Wrigley"

mentions of the word "rig" or its derivatives

No Comments

No Known Activations