INDEX

Explanations

proper nouns related to a specific location or university

oai_token-act-pair · gpt-3.5-turbo

proper nouns and names related to locations and notable persons

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 0-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.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

 coughing

-0.71

 cough

-0.68

 Nano

-0.66

 nano

-0.64

Bri

-0.61

Bud

-0.60

 airborne

-0.60

 dwarf

-0.59

 Brew

-0.59

boo

-0.59

POSITIVE LOGITS

eson

3.76

esa

2.55

esville

2.40

esan

2.21

esse

1.98

es

1.97

esi

1.53

esis

1.45

edin

1.40

eton

1.36

Activations Density 0.017%

proper nouns related to a specific location or university

proper nouns and names related to locations and notable persons

No Comments

No Known Activations