INDEX

Explanations

proper nouns related to individuals or entities

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names related to people or characters

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.9.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

acts

-0.67

SIGN

-0.66

ASED

-0.65

ghai

-0.64

lance

-0.63

rous

-0.61

atical

-0.61

fare

-0.59

ggle

-0.59

think

-0.57

POSITIVE LOGITS

mith

1.59

1.47

hip

1.43

hips

1.38

pring

1.33

ullivan

1.29

peed

1.24

erver

1.22

aurus

1.22

chool

1.21

Activations Density 0.257%

proper nouns related to individuals or entities

proper nouns, particularly names related to people or characters

No Comments

No Known Activations