INDEX

Explanations

cities or locations

oai_token-act-pair · gpt-3.5-turbo

proper nouns, particularly names of places and specific entities

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 7-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.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

 mechanically

-0.68

 scra

-0.67

 fielding

-0.65

 bearer

-0.65

 academ

-0.63

 identifying

-0.62

 mature

-0.61

 dearly

-0.61

 authentic

-0.60

 favorable

-0.60

POSITIVE LOGITS

phia

0.98

icz

0.97

nir

0.91

ai

0.91

uy

0.89

hai

0.86

ka

0.85

ia

0.83

tein

0.83

ui

0.82

Activations Density 0.382%

cities or locations

proper nouns, particularly names of places and specific entities

No Comments

No Known Activations