INDEX

Explanations

brands and product names in the context of pharmaceuticals and medical products

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.19.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

RegressionTest

-0.92

)"),

-0.82

saraba

-0.78

SourceChecksum

-0.72

/−

-0.69

verwijspagina

-0.68

>*/

-0.67

 AssemblyTitle

-0.66

…]

-0.66

TagHelper

-0.65

POSITIVE LOGITS

®

2.28

™

2.04

®.

1.73

®,

1.71

®

1.66

™

1.58

®:

1.54

™.

1.54

™,

1.52

TM

1.47

Activations Density 0.378%

brands and product names in the context of pharmaceuticals and medical products

No Comments

No Known Activations