INDEX

Explanations

references to medical incidents and their consequences

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.25.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

 Egan

-0.76

 Hanna

-0.74

 Rufus

-0.72

Haj

-0.71

 Nadia

-0.70

Vaz

-0.69

 Kearns

-0.67

 McLean

-0.66

PSE

-0.66

 Sven

-0.65

POSITIVE LOGITS

 Jeff

0.82

JEFF

0.76

 Carson

0.74

Jeff

0.74

 Carol

0.73

 Ahmad

0.72

Ku

0.71

 Thom

0.70

 jeff

0.69

Ahmad

0.69

Activations Density 2.166%

references to medical incidents and their consequences

No Comments

No Known Activations