INDEX

Explanations

automobile brands and models, particularly Chevrolet

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.0.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

 Roskov

-0.67

 Normdatei

-0.56

LookAnd

-0.55

 Kramer

-0.51

Personendaten

-0.51

 dAtA

-0.50

Val

-0.49

 inter

-0.49

市镇

-0.49

styleType

-0.49

POSITIVE LOGITS

 Nissan

1.06

 Toyota

1.00

Toyota

0.96

 Chevrolet

0.92

 Yamaha

0.88

 Honda

0.88

 Lexus

0.88

Nissan

0.87

 Panasonic

0.85

 Canon

0.85

Activations Density 2.463%

automobile brands and models, particularly Chevrolet

No Comments

No Known Activations