INDEX

Explanations

words related to the entertainment industry, particularly those ending in 'ate' or 'ator'

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

New Auto-Interp

Top Features by Cosine Similarity

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

Configuration

fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L1R-8x

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

cerebras/SlimPajama-627B

Features

32,768

Data Type

bfloat16

Hook Name

blocks.1.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

Ze

-0.15

utex

-0.14

é¼ł

-0.14

Ze

-0.14

ima

-0.14

orte

-0.13

 rang

-0.13

itur

-0.13

emed

-0.13

umm

-0.13

POSITIVE LOGITS

imary

0.16

nej

0.16

ypsy

0.15

assin

0.15

iggins

0.15

ESIS

0.14

PTS

0.14

Tup

0.14

à¤¾à¤ĩ

0.14

-valu

0.14

Activations Density 0.027%

words related to the entertainment industry, particularly those ending in 'ate' or 'ator'

No Comments

No Known Activations