INDEX

Explanations

names of people associated with local businesses or organizations

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

personal names, particularly first names and surnames of individuals mentioned in biographical or narrative contexts.

oai_token-act-pair · claude-4-5-haiku Triggered by @emiglarou

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.31.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

typeorm

-0.46

保有

-0.43

 Bayard

-0.42

 Southwestern

-0.42

 Harlan

-0.41

 diapers

-0.40

 DeWitt

-0.40

 nécessairement

-0.39

 favorable

-0.39

 Calhoun

-0.39

POSITIVE LOGITS

 rhestr

0.65

Whilst

0.60

 whilst

0.60

 Whilst

0.58

(£

0.56

 enquiries

0.55

 Enquiries

0.53

Rhestr

0.53

MBE

0.50

 Tutte

0.50

Activations Density 0.276%

names of people associated with local businesses or organizations

personal names, particularly first names and surnames of individuals mentioned in biographical or narrative contexts.

No Comments

No Known Activations