INDEX

Explanations

phrases related to seating arrangements or assignments

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>

-3.17

ⓧ

-0.73

lateinit

-0.69

/**

-0.66

 inform

-0.63

-0.60

/***

-0.60

/*

-0.59

 rehabilitate

-0.59

 develop

-0.58

POSITIVE LOGITS

 dises

1.27

 lidl

1.25

 stockholm

1.24

 unlaw

1.16

 seat

1.16

capulco

1.16

 SEAT

1.15

 bandung

1.14

 shopee

1.13

Seat

1.13

Activations Density 0.089%

phrases related to seating arrangements or assignments

No Comments

No Known Activations