INDEX

Explanations

names of medical institutions and professionals

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.25.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

MigrationBuilder

-0.64

 disambiguazione

-0.62

Duy

-0.59

 peruano

-0.59

rmtree

-0.58

 peruana

-0.56

Bronnen

-0.55

Hentet

-0.55

 defaultstate

-0.54

bcryptjs

-0.53

POSITIVE LOGITS

 Marathi

0.88

 Thane

0.84

 Maharashtra

0.84

 Mumbai

0.76

Maharashtra

0.73

 Navi

0.68

 Thackeray

0.67

 Pune

0.67

NCP

0.66

MID

0.66

Activations Density 0.063%

names of medical institutions and professionals

No Comments

No Known Activations

names of medical institutions and professionals

No Comments

No Known Activations