INDEX

Explanations

words related to movie titles and specific terms within movie plots

oai_token-act-pair · gpt-3.5-turbo

quoted phrases, particularly from film and literature titles

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 2-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.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

anmar

-0.75

itably

-0.75

idge

-0.69

 dispers

-0.67

ogene

-0.63

sow

-0.62

itionally

-0.62

bread

-0.62

 vagina

-0.62

 CLSID

-0.61

POSITIVE LOGITS

Â»

1.24

 Â«

1.01

Â«

0.89

 Â»

0.89

ï¸ı

0.83

tal

0.79

CLASSIFIED

0.79

Prev

0.77

yu

0.74

âĢł

0.73

Activations Density 0.006%

words related to movie titles and specific terms within movie plots

quoted phrases, particularly from film and literature titles

No Comments

No Known Activations