INDEX

Explanations

terms related to medical conditions and toxicology

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 13-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.13.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

'}>

-1.17

 raiſ

-1.14

Efq

-1.12

 faſt

-1.10

 greateſt

-1.10

 deſt

-1.10

 purpoſe

-1.10

 myſelf

-1.08

 pleaſure

-1.08

 ſever

-1.07

POSITIVE LOGITS

0.86

0.82

0.79

0.71

0.70

in

0.69

0.68

The

0.66

0.65

to

0.65

Activations Density 3.937%

terms related to medical conditions and toxicology

No Comments

No Known Activations