INDEX

Explanations

words related to registration marks and regulations in the context of aviation

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_fs3072-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_3072

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

3,072

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

lihood

-0.90

¿½

-0.87

ĺħ

-0.69

liest

-0.69

¢

-0.69

pread

-0.69

=-=-

-0.68

 Ender

-0.64

 Dangerous

-0.64

 Beir

-0.63

POSITIVE LOGITS

icum

1.04

istration

0.95

arious

0.94

ulations

0.93

isters

0.92

ulators

0.91

ardless

0.88

ulatory

0.87

ISTER

0.86

arded

0.83

Activations Density 0.871%

words related to registration marks and regulations in the context of aviation

No Comments

No Known Activations