INDEX

Explanations

words related to specific organizations or proper nouns

oai_token-act-pair · gpt-3.5-turbo

specific names or identifiers associated with people or organizations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.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

 Peaks

-0.68

 coping

-0.67

bread

-0.64

 Crus

-0.62

 embodiment

-0.62

 Decay

-0.62

istically

-0.59

 mileage

-0.58

 crest

-0.58

apt

-0.57

POSITIVE LOGITS

sembly

0.99

hid

0.91

itsch

0.87

opal

0.85

orthy

0.84

chuk

0.82

afort

0.82

yna

0.82

zynski

0.81

ucha

0.80

Activations Density 0.130%

words related to specific organizations or proper nouns

specific names or identifiers associated with people or organizations

No Comments

No Known Activations