INDEX

Explanations

names of cities, particularly focusing on Miami

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

ebook

-0.83

icator

-0.80

iary

-0.80

uably

-0.79

UGC

-0.77

onomic

-0.75

dy

-0.75

sed

-0.73

Els

-0.73

\\\\\\\\

-0.73

POSITIVE LOGITS

 Beach

1.24

 Gardens

1.22

 Dolphins

1.13

 Marlins

1.04

 Hurricanes

0.99

 Heat

0.95

 Herald

0.93

ricanes

0.92

 Lakes

0.84

 Harbour

0.82

Activations Density 0.028%

names of cities, particularly focusing on Miami

No Comments

No Known Activations