INDEX

Explanations

proper nouns related to people and places

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs24576-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_24576

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.8.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

illary

-0.76

rift

-0.66

omore

-0.66

ilings

-0.65

ategory

-0.64

icipated

-0.62

aded

-0.62

unal

-0.61

tab

-0.61

âĹ¼

-0.61

POSITIVE LOGITS

come

0.98

esley

0.94

ington

0.90

spring

0.88

 guess

0.82

 hello

0.79

terday

0.79

adays

0.77

 congratulations

0.74

INGTON

0.73

Activations Density 0.023%

proper nouns related to people and places

No Comments

No Known Activations

proper nouns related to people and places

No Comments

No Known Activations