INDEX

Explanations

words related to health, aging, and medical conditions, especially focusing on older individuals

oai_token-act-pair · gpt-3.5-turbo Triggered by @bot

New Auto-Interp

Configuration

jbloom/Gemma-2b-Residual-Stream-SAEs/gemma_2b_blocks.6.hook_resid_post_16384_anthropic_fast_lr

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

HuggingFaceFW/fineweb

Features

16,384

Data Type

torch.float32

Hook Point

blocks.6.hook_resid_post

Architecture

standard

Context Size

1,024

Dataset

HuggingFaceFW/fineweb

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

<bos>

-2.22

ⓧ

-0.69

/***

-0.66

///**

-0.63

}{||

-0.58

HasIndex

-0.53

glBegin

-0.52

<?

-0.51

/*

-0.50

displayquote

-0.49

POSITIVE LOGITS

 Minang

1.15

 sergio

1.15

 jorge

1.15

 maneu

1.14

Juf

1.14

 Jambi

1.14

 bandung

1.12

 ricardo

1.07

 Palembang

1.07

 lara

1.06

Activations Density 0.649%

words related to health, aging, and medical conditions, especially focusing on older individuals

No Comments

No Known Activations