INDEX

Explanations

pronouns referring to multiple entities

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

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 Eleven

-0.84

CCC

-0.73

 Amen

-0.69

paragraph

-0.68

 Globe

-0.67

 Kinn

-0.66

 Daniels

-0.65

 Innocent

-0.64

DAY

-0.63

 Clair

-0.61

POSITIVE LOGITS

're

1.69

'll

1.39

've

1.39

'd

1.22

zbollah

1.08

selves

1.02

are

1.02

 weren

1.00

 shouldn

0.99

 were

0.97

Activations Density 0.885%

pronouns referring to multiple entities

No Comments

No Known Activations