INDEX

Explanations

names of locations and venues

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

proper nouns that are parts of venue or location names.

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

names of specific places and venues, especially streets, theaters, hotels, parks, beaches, and other location-based proper nouns.

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.25.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

cerebras/SlimPajama-627B

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

gorithm

-0.15

DBObject

-0.14

 Municip

-0.14

ÑĸÐ½ÑĮ

-0.13

 COUNTY

-0.13

 Glyph

-0.13

Ð²Ð¸Ð½

-0.12

 éĦ

-0.12

—"

-0.12

ÐµÐ½ÑĮ

-0.12

POSITIVE LOGITS

 Square

0.20

markt

0.19

 building

0.17

 Building

0.17

 Vanderbilt

0.16

Square

0.16

 Hall

0.15

disposing

0.15

AFX

0.15

 Street

0.15

Activations Density 0.323%

names of locations and venues

proper nouns that are parts of venue or location names.

names of specific places and venues, especially streets, theaters, hotels, parks, beaches, and other location-based proper nouns.

No Comments

No Known Activations