INDEX

Explanations

references to specific locations, such as "Ferguson"

oai_token-act-pair · gpt-3.5-turbo

references to Ferguson, particularly in the context of police-related incidents

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 10-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.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

hare

-0.77

-0.72

Magikarp

-0.72

Engineers

-0.69

ppo

-0.66

 compan

-0.64

ECD

-0.64

 magnification

-0.63

 bunk

-0.63

STEM

-0.63

POSITIVE LOGITS

shire

0.94

stones

0.75

orious

0.72

rup

0.71

 Ferguson

0.70

 Township

0.70

ner

0.69

stad

0.69

weather

0.68

burg

0.67

Activations Density 0.046%

references to specific locations, such as "Ferguson"

references to Ferguson, particularly in the context of police-related incidents

No Comments

No Known Activations