INDEX

Explanations

terms related to various industries, particularly entertainment, automotive, and health care

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.17.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

 olympique

-0.71

 Colombie

-0.61

τής

-0.60

 nuages

-0.59

 polaire

-0.59

ResponseWriter

-0.59

 alug

-0.59

 brancas

-0.56

 campagne

-0.55

 trous

-0.54

POSITIVE LOGITS

 industry

1.20

 sector

1.05

industry

0.89

 industries

0.88

 Industry

0.86

Industry

0.77

 kasarigan

0.71

 SPDX

0.70

 Sector

0.69

sector

0.69

Activations Density 0.453%

terms related to various industries, particularly entertainment, automotive, and health care

No Comments

No Known Activations