INDEX

Explanations

words related to speed and efficiency

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

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

<bos>

-3.37

-0.95

ⓧ

-0.89

Portály

-0.75

/*

-0.74

/**

-0.74

<?

-0.74

CreateIndex

-0.71

 introduce

-0.71

 provide

-0.68

POSITIVE LOGITS

 wien

1.85

 bandung

1.85

 Minang

1.83

 nuoc

1.81

 casio

1.80

 jaya

1.78

 milano

1.76

 frankfurt

1.76

 stockholm

1.74

 meis

1.73

Activations Density 0.066%

words related to speed and efficiency

No Comments

No Known Activations