INDEX

Explanations

situations related to football interceptions

oai_token-act-pair · gpt-3.5-turbo

terms related to turnovers in sports, particularly interceptions and fumbles

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 6-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.6.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

PlotsExplanationShow Test FieldDefault Test Text

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

illac

-0.80

liam

-0.80

atten

-0.73

eways

-0.72

elin

-0.72

hov

-0.71

tan

-0.71

oras

-0.69

ood

-0.67

icans

-0.67

POSITIVE LOGITS

 catcher

0.75

 fumble

0.73

 interceptions

0.68

 Brandon

0.66

 kicker

0.66

 penalty

0.65

 touchdowns

0.65

 touchdown

0.65

 turnovers

0.64

ception

0.64

Activations Density 0.018%

situations related to football interceptions

terms related to turnovers in sports, particularly interceptions and fumbles

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No Known Activations