INDEX

Explanations

references to specific film categories and attributes, such as genre and language

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

Wikipedia article metadata and categorical tags, particularly year numbers and film classification information.

oai_token-act-pair · claude-4-5-haiku Triggered by @emiglarou

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k

Configuration

google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.31.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

protoimpl

-0.54

LabelTagHelper

-0.51

 Infórmanos

-0.48

 gyvento

-0.47

########.

-0.47

 atlik

-0.45

Personendaten

-0.45

 ilustracji

-0.44

($__

-0.44

MigrationBuilder

-0.43

POSITIVE LOGITS

 blockbuster

0.93

 thriller

0.92

 film

0.85

 movie

0.81

 films

0.79

sci

0.77

 movies

0.76

 flick

0.73

 comedy

0.72

 horror

0.72

Activations Density 0.298%

references to specific film categories and attributes, such as genre and language

Wikipedia article metadata and categorical tags, particularly year numbers and film classification information.

No Comments

No Known Activations