INDEX

Explanations

names and terms associated with medical conditions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.3.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

RectangleBorder

-0.48

Diwedd

-0.47

 trânsito

-0.44

這位

-0.44

catálogo

-0.43

čenje

-0.42

pop

-0.42

 Biôgrafia

-0.41

reuung

-0.41

ņas

-0.40

POSITIVE LOGITS

ž

1.41

ž

1.25

Ž

1.21

Ž

1.13

ж

1.12

ż

1.11

Ж

1.08

ж

1.02

Ż

1.02

Ж

0.95

Activations Density 1.148%

names and terms associated with medical conditions

No Comments

No Known Activations