INDEX

Explanations

questions, references to people, pronouns and words like "who", "what", "which", "is", "are", "be", "was", etc.

oai_token-act-pair · gemini-2.0-flash

identifying "who"

np_max-act-logits · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_18/width_16k/average_l0_13

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.18.ln2.hook_normalized

Architecture

jumprelu_transcoder

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

出版年

-0.80

enumii

-0.71

tvguidetime

-0.68

VersionUID

-0.68

endphp

-0.66

"]);

-0.66

 purpoſe

-0.65

InputTagHelper

-0.65

 חיצוניים

-0.65

'],

-0.62

POSITIVE LOGITS

LookAnd

0.57

 oversaw

0.51

writeFieldEnd

0.50

 sponsored

0.49

unità

0.47

 silencio

0.47

 Meksiku

0.46

 patrocin

0.46

ună

0.46

 participated

0.46

Activations Density 2.468%

questions, references to people, pronouns and words like "who", "what", "which", "is", "are", "be", "was", etc.

identifying "who"

No Comments

No Known Activations

questions, references to people, pronouns and words like "who", "what", "which", "is", "are", "be", "was", etc.

identifying "who"

No Comments

No Known Activations