INDEX

Explanations

terms related to offensive positions and their performance in sports

oai_token-act-pair · gpt-4o-mini

Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k

Configuration

google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59

Prompts (Dashboard)

36,864 prompts, 128 tokens each

Dataset (Dashboard)

monology/pile-uncopyrighted

Features

16,384

Data Type

float32

Hook Name

blocks.3.hook_resid_post

Hook Layer

Architecture

jumprelu

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Activation Function

relu

Embeds

IFrame

Link

Negative Logits

Xna

-0.68

 Fiorentina

-0.57

 Magenta

-0.53

writeFieldEnd

-0.52

Diagonal

-0.52

avadoc

-0.51

issauga

-0.50

ValueGeneration

-0.48

났

-0.48

ibia

-0.48

POSITIVE LOGITS

 mold

0.89

#+#

0.83

 Silicon

0.82

 offensive

0.80

 mould

0.80

mold

0.78

offensive

0.77

 offense

0.77

Silicon

0.77

 silikon

0.75

Activations Density 0.691%

terms related to offensive positions and their performance in sports

No Known Activations