INDEX

Explanations

terms related to postal services and medical conditions

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

 Qiao

-0.82

 Orchestra

-0.73

 Brill

-0.71

 bands

-0.70

 Bett

-0.68

 Flavoring

-0.65

owship

-0.65

 Lauder

-0.65

ãĤ¤ãĥĪ

-0.65

Ø©

-0.64

POSITIVE LOGITS

mortem

1.46

gres

1.45

doctoral

1.36

hum

1.31

greSQL

1.21

modern

1.19

graduate

1.18

ulate

1.16

natal

1.16

cards

1.09

Activations Density 0.337%

terms related to postal services and medical conditions

No Comments

No Known Activations