INDEX

Explanations

proper nouns related to specific locations or venues

oai_token-act-pair · gpt-3.5-turbo

references to sports fields

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

éĹĺ

-0.75

ILA

-0.75

Lear

-0.73

nces

-0.71

ä»£

-0.70

shapeshifter

-0.69

âĺħâĺħ

-0.68

âĶĢâĶĢ

-0.68

bian

-0.67

 crawl

-0.62

POSITIVE LOGITS

 Field

0.95

field

0.78

 Marshal

0.77

iday

0.75

onet

0.73

renheit

0.70

 Warfare

0.70

ftime

0.70

fields

0.69

grass

0.69

Activations Density 0.008%

proper nouns related to specific locations or venues

references to sports fields

No Comments

No Known Activations