INDEX

Explanations

terms related to geographic locations and institutions with specific locations such as London- and Berlin-based organizations

oai_token-act-pair · gpt-3.5-turbo

references to locations and their associated activities or characteristics

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

Applic

-0.69

 accompl

-0.65

 dexterity

-0.65

kind

-0.63

ormonal

-0.63

 expired

-0.62

 pedals

-0.61

ITION

-0.60

 wives

-0.60

 perman

-0.59

POSITIVE LOGITS

 suburbs

0.90

waters

0.84

 docks

0.83

 suburb

0.83

 Airport

0.81

 skyline

0.77

 Toll

0.77

 borough

0.77

 metro

0.76

 Ahead

0.74

Activations Density 0.544%

terms related to geographic locations and institutions with specific locations such as London- and Berlin-based organizations

references to locations and their associated activities or characteristics

No Comments

No Known Activations