INDEX

Explanations

geographical locations and urban areas within the context of infrastructure and transportation

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.15.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 jsPsych

-0.71

 villagers

-0.70

 rhestr

-0.66

 للاسماء

-0.65

 agrico

-0.64

 villager

-0.64

Tikang

-0.64

httphttps

-0.63

Resort

-0.63

 agricole

-0.63

POSITIVE LOGITS

 city

0.96

 downtown

0.91

 urban

0.84

 metropolis

0.83

 City

0.81

 metropolitan

0.81

city

0.80

 Metropolitan

0.78

CITY

0.78

 CITY

0.78

Activations Density 0.338%

geographical locations and urban areas within the context of infrastructure and transportation

No Comments

No Known Activations