INDEX

Explanations

proper nouns and names associated with people, especially in academic or professional contexts

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

 Knoblauch

-0.54

 Groningen

-0.51

 Abon

-0.50

 Zwiebel

-0.48

 Freih

-0.47

 Bochum

-0.47

 Oleg

-0.46

 Bilbao

-0.44

 Moisés

-0.44

 Cronin

-0.44

POSITIVE LOGITS

 Georg

0.94

Georg

0.92

 GEORG

0.89

 georg

0.80

 Steph

0.79

 Georgian

0.77

 Bern

0.76

 Mont

0.73

georg

0.73

Hen

0.70

Activations Density 0.519%

proper nouns and names associated with people, especially in academic or professional contexts

No Comments

No Known Activations