INDEX

Explanations

words quantifying severity related to crime

oai_token-act-pair · gemini-2.0-flash

Crime and violations

np_max-act-logits · gemini-2.0-flash

New Auto-Interp

Configuration

google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.24.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

Mis

-0.93

Mal

-0.93

Mis

-0.92

Mal

-0.88

mal

-0.86

mal

-0.81

mis

-0.77

MIS

-0.75

COR

-0.73

mis

-0.72

POSITIVE LOGITS

 mourir

0.53

udière

0.52

 quelcon

0.52

 doulou

0.48

 isolé

0.47

 avoient

0.47

izante

0.46

décoration

0.46

 Leclerc

0.46

wdriver

0.45

Activations Density 4.790%

words quantifying severity related to crime

Crime and violations

No Comments

No Known Activations