INDEX

Explanations

proper nouns, names of people, organizations, and locations

oai_token-act-pair · gpt-3.5-turbo

proper nouns and specific names in the text

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

must

-0.73

OULD

-0.71

 unlocks

-0.65

usalem

-0.65

"],"

-0.64

 Tags

-0.62

 entails

-0.62

ebook

-0.60

pires

-0.60

iencies

-0.59

POSITIVE LOGITS

 whose

1.25

who

1.18

whose

1.12

 whom

1.01

 wherein

1.01

who

0.99

 which

0.97

 whereby

0.94

 demonstrating

0.91

 announcing

0.90

Activations Density 0.574%

proper nouns, names of people, organizations, and locations

proper nouns and specific names in the text

No Comments

No Known Activations