INDEX

Explanations

occurrences of the word "much" in the context of various topics and questions

oai_token-act-pair · gpt-3.5-turbo

references to the concept of "how much."

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.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

swick

-0.89

ħĭ

-0.85

Ń·

-0.84

¶æ

-0.81

umbn

-0.80

inator

-0.80

ãĤ´ãĥ³

-0.79

actionDate

-0.78

EMBER

-0.78

apest

-0.77

POSITIVE LOGITS

 mileage

0.83

 they

0.81

 else

0.80

 damage

0.78

 money

0.77

 elapsed

0.72

we

0.71

 extent

0.71

she

0.70

he

0.69

Activations Density 0.067%

occurrences of the word "much" in the context of various topics and questions

references to the concept of "how much."

No Comments

No Known Activations