INDEX

Explanations

proper nouns representing locations or entities

oai_token-act-pair · gpt-3.5-turbo

keywords related to significant locations, events, or milestones

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

 Cosponsors

-0.52

%);

-0.51

Rated

-0.51

cause

-0.51

 streng

-0.46

MpServer

-0.45

"},"

-0.44

 suspic

-0.43

 redes

-0.43

ragon

-0.42

POSITIVE LOGITS

0.95

we

0.93

*,

0.85

 they

0.84

 there

0.80

it

0.75

you

0.74

,...

0.73

(),

0.71

!,

0.70

Activations Density 0.663%

proper nouns representing locations or entities

keywords related to significant locations, events, or milestones

No Comments

No Known Activations