INDEX

Explanations

mentions of geographical locations, particularly cities and universities, especially in the context of news articles

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_fs768-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_768

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

768

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

mble

-1.11

lly

-0.85

umbn

-0.78

xual

-0.77

UCT

-0.76

oglobin

-0.72

ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ

-0.68

sworth

-0.67

odynam

-0.66

nown

-0.66

POSITIVE LOGITS

 Diego

0.90

Oro

0.86

 Chargers

0.84

San

0.84

 Rican

0.80

 Rica

0.79

 Unified

0.78

 Francisco

0.77

 Mate

0.77

 Tome

0.76

Activations Density 4.824%

mentions of geographical locations, particularly cities and universities, especially in the context of news articles

No Comments

No Known Activations