INDEX

Explanations

words related to environmental pollution, specifically involving pollutants like smoke, soot, sulfur dioxide, and grime

oai_token-act-pair · gpt-3.5-turbo

words related to culinary ingredients and cooking methods

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

 Tanz

-0.93

TJ

-0.70

 newcom

-0.69

£ı

-0.68

 Byrd

-0.67

Marsh

-0.65

 Stras

-0.65

 BaseType

-0.64

 Haram

-0.64

 Roose

-0.63

POSITIVE LOGITS

 emanating

0.95

fulness

0.94

 buildup

0.94

iness

0.92

 poisoning

0.86

 stains

0.85

bytes

0.83

ful

0.81

 infused

0.80

stained

0.80

Activations Density 0.348%

words related to environmental pollution, specifically involving pollutants like smoke, soot, sulfur dioxide, and grime

words related to culinary ingredients and cooking methods

No Comments

No Known Activations