INDEX

Explanations

high-frequency words and numbers related to legal and medical contexts

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

do not

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k

Configuration

google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

131,072

Data Type

float32

Hook Name

blocks.20.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

 AssemblyCulture

-0.56

 ContentValues

-0.37

ByExample

-0.36

 UITableViewCell

-0.36

ChildScrollView

-0.34

 CommandType

-0.34

GraphicsUnit

-0.33

 Christiansen

-0.33

 entities

-0.33

 recovery

-0.33

POSITIVE LOGITS

transQ

0.65

LookAnd

0.57

 surla

0.55

 Савезне

0.55

ArrowToggle

0.51

uxxxx

0.50

Abitanti

0.47

setVerticalGroup

0.47

+#+#

0.45

Descripció

0.45

Activations Density 0.017%

high-frequency words and numbers related to legal and medical contexts

do not

No Comments

No Known Activations