INDEX

Explanations

terms related to nursing and legal professions

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.23.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

ContentAsync

-0.80

Personendaten

-0.72

parsedMessage

-0.68

setViewportView

-0.64

splitlines

-0.61

ləş

-0.61

 utafitiHapana

-0.60

ACHUSET

-0.60

 Roskov

-0.59

ronique

-0.59

POSITIVE LOGITS

who

0.85

who

0.70

 specializing

0.70

 extraordinaire

0.65

 friend

0.64

 salaries

0.61

 specialising

0.61

 manqué

0.60

 trainee

0.59

 profession

0.59

Activations Density 0.377%

terms related to nursing and legal professions

No Comments

No Known Activations