INDEX

Explanations

places or establishments commonly found in a city or town

oai_token-act-pair · gpt-3.5-turbo

references to types of infrastructure and services

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

":"/

-0.72

tsky

-0.65

afety

-0.64

arten

-0.64

ajor

-0.61

ortmund

-0.61

IER

-0.61

owe

-0.60

irk

-0.59

emaker

-0.59

POSITIVE LOGITS

etc

1.99

etc

1.80

ect

1.01

whatever

0.93

 respectively

0.91

âĢ¦)

0.80

 Flavoring

0.77

 blah

0.75

...)

0.69

et

0.69

Activations Density 0.266%

places or establishments commonly found in a city or town

references to types of infrastructure and services

No Comments

No Known Activations