INDEX

Explanations

data vectorization

np_max-act · gemini-2.0-flash

The neuron fires on tokens that denote data‐preprocessing steps or technical operations (e.g. “Preprocessing,” “normalization,” “feature extraction,” “format,” etc.).

oai_token-act-pair · o4-mini Triggered by @xinyanhu8

New Auto-Interp

Configuration

andyrdt/saes-llama-3.1-8b-instruct/resid_post_layer_11/trainer_1

Dataset (Dashboard)

Various

Features

131,072

Data Type

float32

Hook Name

blocks.11.hook_resid_post

Architecture

standard

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

ynam

-0.06

arin

-0.06

IVAL

-0.06

<String

-0.06

Evento

-0.06

 čá

-0.06

MEA

-0.06

zkum

-0.06

роничес

-0.06

.LabelControl

-0.06

POSITIVE LOGITS

.tb

0.07

 escape

0.07

 Consumption

0.06

Next

0.06

ynchron

0.06

 posição

0.06

 discrim

0.06

फ

0.06

å

0.06

Activations Density 0.188%

data vectorization

The neuron fires on tokens that denote data‐preprocessing steps or technical operations (e.g. “Preprocessing,” “normalization,” “feature extraction,” “format,” etc.).

No Comments

No Known Activations

data vectorization

The neuron fires on tokens that denote data‐preprocessing steps or technical operations (e.g. “Preprocessing,” “normalization,” “feature extraction,” “format,” etc.).

No Comments

No Known Activations