INDEX

Explanations

specific drug names or types within the context of therapeutics

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

anti-VEGF drugs

np_acts-logits-general · gemini-2.5-flash-lite

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k

Configuration

google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

131,072

Data Type

float32

Hook Name

blocks.9.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

errHandler

-0.42

 pinulongan

-0.37

Portály

-0.33

:][

-0.31

 communiquez

-0.30

 suministros

-0.30

 península

-0.30

 lluvia

-0.29

Aiheesta

-0.29

protoimpl

-0.28

POSITIVE LOGITS

 stabilisation

0.62

floxacin

0.60

GEBURTSDATUM

0.58

umab

0.57

 Gesture

0.57

 Literal

0.56

conazole

0.56

vastatin

0.56

 hydrochloride

0.56

 Circuits

0.56

Activations Density 0.155%

specific drug names or types within the context of therapeutics

anti-VEGF drugs

No Comments

No Known Activations

specific drug names or types within the context of therapeutics

anti-VEGF drugs

No Comments

No Known Activations