INDEX

Explanations

names and titles of people, particularly in a professional context

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.33.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

astéroïdes

-0.74

 disambiguazione

-0.73

 Chwiliwch

-0.71

 nahilalakip

-0.66

featureID

-0.63

 kasarigan

-0.61

GEBURTSDATUM

-0.61

 OMITBAD

-0.60

rungsseite

-0.60

 ویکی‌پدی

-0.60

POSITIVE LOGITS

Jr

0.73

PhD

0.70

Esq

0.60

PhD

0.58

 Senior

0.57

who

0.55

 assistant

0.54

aka

0.54

 former

0.53

Ph

0.52

Activations Density 0.607%

names and titles of people, particularly in a professional context

No Known Activations