INDEX

Explanations

brands and products in the technology and automotive sectors

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.1.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

 sayap

-0.45

 conducción

-0.43

 Méndez

-0.43

 pegatinas

-0.42

 circulación

-0.41

 cuerda

-0.41

 cocción

-0.41

 ventilación

-0.41

 Tsch

-0.40

 cáps

-0.39

POSITIVE LOGITS

 Samsung

2.17

 Toyota

2.02

Samsung

2.00

IBM

2.00

 Nokia

1.97

 Sony

1.95

 Nissan

1.94

 Motorola

1.91

 Lenovo

1.91

 Huawei

1.87

Activations Density 0.820%

brands and products in the technology and automotive sectors

No Comments

No Known Activations