INDEX

Explanations

proper nouns related to various entities including companies, individuals, and locations

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

uminati

-0.68

vernment

-0.67

gettable

-0.66

itsch

-0.65

iard

-0.65

orate

-0.64

urate

-0.63

arding

-0.61

arded

-0.60

raising

-0.60

POSITIVE LOGITS

plings

0.88

pling

0.83

apore

0.83

geant

0.82

ority

0.82

eways

0.81

stice

0.77

atchewan

0.76

avage

0.75

arin

0.71

Activations Density 1.696%

proper nouns related to various entities including companies, individuals, and locations

No Comments

No Known Activations