INDEX

Explanations

proper nouns of specific locations and organizations

oai_token-act-pair · gpt-3.5-turbo

specific geographical locations and institutions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

 narrator

-0.75

 persona

-0.69

 campaigner

-0.69

 fuss

-0.68

ataka

-0.68

 crowd

-0.68

 dossier

-0.67

 crust

-0.65

 movement

-0.63

 combo

-0.63

POSITIVE LOGITS

 Studios

1.02

 Headquarters

1.00

 Stadium

1.00

 behest

0.98

Aren

0.92

 Laboratories

0.92

HQ

0.92

 headquarters

0.91

 expense

0.90

 Airport

0.90

Activations Density 0.375%

proper nouns of specific locations and organizations

specific geographical locations and institutions

No Comments

No Known Activations