INDEX

Explanations

proper nouns related to pharmaceutical companies

oai_token-act-pair · gpt-3.5-turbo

mentions of specific individuals or organizations, particularly in the context of health and science

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

quickShipAvailable

-0.73

 sailors

-0.69

 Hermes

-0.69

bian

-0.68

coat

-0.68

Fut

-0.67

Saint

-0.64

 Mistress

-0.64

Nou

-0.62

 sailor

-0.61

POSITIVE LOGITS

uncture

0.83

rahim

0.81

enhagen

0.81

udge

0.81

raud

0.80

avement

0.80

 Lumpur

0.78

utic

0.78

tta

0.77

Pf

0.77

Activations Density 0.023%

proper nouns related to pharmaceutical companies

mentions of specific individuals or organizations, particularly in the context of health and science

No Comments

No Known Activations