INDEX

Explanations

names of people, specifically the surname "Wagner" and "Gardner"

oai_token-act-pair · gpt-3.5-turbo

proper nouns, specifically names of people

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

Negative Logits

oin

-0.90

ership

-0.79

ions

-0.74

erences

-0.70

bor

-0.70

ocular

-0.70

aques

-0.69

ers

-0.69

oops

-0.68

iers

-0.68

POSITIVE LOGITS

SHIP

0.90

NRS

0.79

veyard

0.76

lein

0.76

akura

0.69

 Vaughn

0.64

HOU

0.62

tz

0.62

 Eclipse

0.61

TEXT

0.61

Activations Density 0.044%

names of people, specifically the surname "Wagner" and "Gardner"

proper nouns, specifically names of people

No Known Activations