INDEX

Explanations

phrases containing past tense forms of "have" indicating experiences or actions

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

modal perfect constructions expressing counterfactual or hypothetical past actions (… have + past participle, often with a modal).

oai_token-act-pair · gpt-5 Triggered by @jyhe0408

The neuron activates on the phrase "would have" followed by a past participle, detecting counterfactual or hypothetical statements about what could have happened in the past.

oai_token-act-pair · claude-4-5-sonnet Triggered by @jyhe0408

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

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

guiente

-0.58

 ainfi

-0.57

 meur

-0.55

LEGGI

-0.55

 voici

-0.54

 chrétien

-0.54

cías

-0.52

 hiér

-0.52

 seuil

-0.52

 règne

-0.51

POSITIVE LOGITS

hloromethane

0.57

llac

0.57

 transported

0.56

 adsorbed

0.55

oudre

0.54

burnt

0.54

imread

0.54

chassis

0.53

macher

0.52

 transporting

0.52

Activations Density 0.098%

phrases containing past tense forms of "have" indicating experiences or actions

modal perfect constructions expressing counterfactual or hypothetical past actions (… have + past participle, often with a modal).

The neuron activates on the phrase "would have" followed by a past participle, detecting counterfactual or hypothetical statements about what could have happened in the past.

No Comments

No Known Activations