INDEX

Explanations

terms related to different types of industries and activities, such as brewing beer, playing baseball, using cannabis for medicine, strategic planning, driving, agriculture, non-profit organizations, education systems, and climate change

oai_token-act-pair · gpt-3.5-turbo

references to food, dietary elements, or health-related topics

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

Interstitial

-0.73

ThumbnailImage

-0.69

ĸļ

-0.68

 exting

-0.66

Ă

-0.65

Ĕ

-0.65

ù

-0.65

Ĝ

-0.65

Ā

-0.65

þ

-0.65

POSITIVE LOGITS

 ÃĹ

0.61

[[

0.58

ss

0.57

...

0.57

sd

0.57

 phen

0.55

=>

0.55

 isEnabled

0.53

wright

0.53

 shall

0.52

Activations Density 0.118%

terms related to different types of industries and activities, such as brewing beer, playing baseball, using cannabis for medicine, strategic planning, driving, agriculture, non-profit organizations, education systems, and climate change

references to food, dietary elements, or health-related topics

No Comments

No Known Activations