INDEX

Explanations

phrases containing the word "Wen" and related variations

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names related to people and places

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 4-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.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

inally

-0.81

 Labrador

-0.76

lime

-0.75

Osc

-0.74

milo

-0.69

Twe

-0.67

ãĤ¦

-0.67

antine

-0.66

container

-0.65

onge

-0.65

POSITIVE LOGITS

zel

0.95

hao

0.89

atche

0.88

fare

0.79

 Kenobi

0.78

akens

0.75

nington

0.74

choes

0.74

kus

0.73

Wen

0.70

Activations Density 0.015%

phrases containing the word "Wen" and related variations

proper nouns, particularly names related to people and places

No Comments

No Known Activations