INDEX

Explanations

ages or years related to individuals involved in criminal activities

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

owe

-0.61

[/

-0.60

 conventions

-0.57

netflix

-0.57

issions

-0.56

 scarce

-0.56

aples

-0.56

 Strongh

-0.56

-0.55

ellation

-0.55

POSITIVE LOGITS

th

0.99

acious

0.87

%-

0.82

 bedroom

0.80

 Minutes

0.80

bedroom

0.79

teenth

0.76

mph

0.76

yo

0.72

cm

0.71

Activations Density 0.132%

ages or years related to individuals involved in criminal activities

No Comments

No Known Activations