INDEX

Explanations

words related to specific names, possibly related to locations or individuals

oai_token-act-pair · gpt-3.5-turbo

names of locations or organizations

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

etheless

-0.75

terday

-0.72

ounter

-0.70

 heel

-0.65

 warranty

-0.64

ä¸ī

-0.64

 similar

-0.64

ģĸ

-0.62

 transitional

-0.62

issance

-0.62

POSITIVE LOGITS

enh

0.92

elia

0.92

ley

0.91

worth

0.89

assian

0.88

witz

0.88

enstein

0.88

entin

0.88

hart

0.87

rag

0.87

Activations Density 0.304%

words related to specific names, possibly related to locations or individuals

names of locations or organizations

No Comments

No Known Activations