INDEX

Explanations

specific types of adjectives related to scenarios or events

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_fs1536-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_1536

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

1,536

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

agree

-0.77

uther

-0.76

mbudsman

-0.76

ploma

-0.75

ajor

-0.75

arthed

-0.74

mbuds

-0.74

á

-0.73

hers

-0.73

OIL

-0.72

POSITIVE LOGITS

ly

1.36

ness

1.36

nesses

1.07

 nature

1.05

est

0.96

 sounding

0.91

 tale

0.88

NESS

0.85

 beginnings

0.83

 exterior

0.83

Activations Density 1.987%

specific types of adjectives related to scenarios or events

No Comments

No Known Activations