INDEX

Explanations

specific names of people involved in legal or historical contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.41.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

 Grupo

-0.65

 pesos

-0.63

 Puerto

-0.63

 Palacio

-0.63

 Instituto

-0.63

 Estadio

-0.63

 Spanish

-0.63

 Universidad

-0.62

 Ciudad

-0.61

 Latino

-0.61

POSITIVE LOGITS

 autorytatywna

0.24

yntaxException

0.24

 bArr

0.23

 Dutton

0.22

hsh

0.21

enderror

0.21

Yeet

0.21

extAlignment

0.21

urman

0.21

 HttpNotFound

0.20

Activations Density 9.647%

specific names of people involved in legal or historical contexts

No Comments

No Known Activations