INDEX

Explanations

terms related to legal and contractual language

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

discussion platform quiz

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

the neuron detects salient content words—important topic-bearing tokens like nouns, verbs, and section/title words.

oai_token-act-pair · gpt-5-mini Triggered by @vetterc0

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

 ModelExpression

-0.68

OGND

-0.68

DockStyle

-0.65

AutoField

-0.63

expandindo

-0.58

 JpaRepository

-0.57

MLLoader

-0.57

tagHelperRunner

-0.56

FieldBuilder

-0.56

Obrázky

-0.55

POSITIVE LOGITS

ConverterFactory

0.45

 fakt

0.36

++,

0.34

APORE

0.34

per

0.34

 Azam

0.34

achev

0.34

pora

0.34

 Idol

0.33

++]

0.33

Activations Density 0.152%

terms related to legal and contractual language

discussion platform quiz

the neuron detects salient content words—important topic-bearing tokens like nouns, verbs, and section/title words.

No Comments

No Known Activations