INDEX

Explanations

the word "Lem" followed by a number, possibly related to a specific entity or concept named "Lem."

oai_token-act-pair · gpt-3.5-turbo

names and terms related to films and television

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

gerald

-0.70

 rake

-0.62

hift

-0.62

Reviewer

-0.61

 Kirin

-0.60

 Hawaiian

-0.59

stood

-0.59

İĭ

-0.59

 caution

-0.59

 seal

-0.58

POSITIVE LOGITS

agne

1.11

ason

1.01

pel

1.00

lem

0.99

borgh

0.97

mand

0.96

obile

0.95

ijn

0.94

ighty

0.93

ovable

0.92

Activations Density 0.009%

the word "Lem" followed by a number, possibly related to a specific entity or concept named "Lem."

names and terms related to films and television

No Comments

No Known Activations

the word "Lem" followed by a number, possibly related to a specific entity or concept named "Lem."

names and terms related to films and television

No Comments

No Known Activations