INDEX

Explanations

proper nouns related to appointments or selections in various fields or industries

oai_token-act-pair · gpt-3.5-turbo

terms related to appointments or selections in various contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

hem

-0.75

ggles

-0.65

heres

-0.64

some

-0.63

rium

-0.61

how

-0.60

alog

-0.59

zers

-0.58

geries

-0.57

 spills

-0.56

POSITIVE LOGITS

 into

0.88

by

0.88

 aback

0.86

 INTO

0.83

 aboard

0.81

 unanimously

0.81

 onto

0.76

DAQ

0.76

 alongside

0.74

ç¥ŀ

0.72

Activations Density 0.170%

proper nouns related to appointments or selections in various fields or industries

terms related to appointments or selections in various contexts

No Comments

No Known Activations