INDEX

Explanations

words related to specific names or entities, such as "Bruyneel", "Cruz", "Ana", "Huntsman", "Redskins", "Jordan Reed", "Chris Brown", "Obama", "Transgender activists", "Assad", "North Van developer"

oai_token-act-pair · gpt-3.5-turbo

named entities, particularly proper nouns and significant figures

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

Slot

-0.73

âĹ¼

-0.71

Contents

-0.70

$.

-0.69

Basic

-0.69

().

-0.68

Footnote

-0.67

Ì¶

-0.67

Ire

-0.67

é»Ĵ

-0.66

POSITIVE LOGITS

 reacts

1.21

 slams

1.18

 shuts

1.14

 defends

1.12

 approves

1.11

 warns

1.09

 Says

1.08

 responds

1.04

 announces

1.03

 survives

1.00

Activations Density 0.561%

words related to specific names or entities, such as "Bruyneel", "Cruz", "Ana", "Huntsman", "Redskins", "Jordan Reed", "Chris Brown", "Obama", "Transgender activists", "Assad", "North Van developer"

named entities, particularly proper nouns and significant figures

No Comments

No Known Activations

words related to specific names or entities, such as "Bruyneel", "Cruz", "Ana", "Huntsman", "Redskins", "Jordan Reed", "Chris Brown", "Obama", "Transgender activists", "Assad", "North Van developer"

named entities, particularly proper nouns and significant figures

No Comments

No Known Activations