INDEX

Explanations

proper nouns such as names of countries, cities, and organizations

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>

-2.93

<?

-1.09

/**

-1.08

ⓧ

-0.98

-0.97

/***

-0.83

<?

-0.82

/*

-0.76

deinit

-0.66

///**

-0.66

POSITIVE LOGITS

 Minang

1.34

mef

1.27

 wien

1.24

Juf

1.23

 Khart

1.22

 lele

1.22

 thut

1.21

aen

1.20

 Jambi

1.20

 dises

1.19

Activations Density 0.119%

proper nouns such as names of countries, cities, and organizations

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No Known Activations