INDEX

Explanations

phrases related to specific locations, such as addresses and suite numbers

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>

-1.60

<?

-0.62

 Aussi

-0.62

 Pourtant

-0.60

 Jusqu

-0.60

HasIndex

-0.59

 Toujours

-0.58

 Leurs

-0.58

 jette

-0.56

acyjny

-0.56

POSITIVE LOGITS

 suite

1.48

 Suite

1.38

 suites

1.35

Suite

1.32

 SUITE

1.32

suite

1.31

 Suites

1.12

SUITE

1.02

suites

0.96

 Münch

0.93

Activations Density 0.334%

phrases related to specific locations, such as addresses and suite numbers

No Comments

No Known Activations