INDEX

Explanations

specific words related to proper nouns like names of people, places, and organizations

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of places and organizations

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

 potentially

-0.64

 ÂŃ

-0.64

 however

-0.64

 pleas

-0.63

 legitimately

-0.63

 correctly

-0.61

 prompt

-0.60

 given

-0.60

 infuri

-0.60

 appealing

-0.60

POSITIVE LOGITS

ocene

0.77

idia

0.75

tek

0.72

negie

0.71

usalem

0.71

apolis

0.69

iami

0.67

acus

0.67

ĸļ

0.65

onia

0.65

Activations Density 0.716%

specific words related to proper nouns like names of people, places, and organizations

proper nouns, particularly names of places and organizations

No Comments

No Known Activations