INDEX

Explanations

references to age categories in sports teams

oai_token-act-pair · gpt-3.5-turbo

references to age classifications in sports

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 5-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.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

oute

-0.80

closure

-0.79

oit

-0.78

osaurus

-0.78

votes

-0.73

ipple

-0.72

acts

-0.72

spring

-0.71

selage

-0.70

leased

-0.69

POSITIVE LOGITS

 Athletic

0.75

 Rugby

0.74

 Olymp

0.71

 boards

0.70

men

0.69

 Euro

0.68

idency

0.68

 rugby

0.67

 Australian

0.66

 players

0.65

Activations Density 0.065%

references to age categories in sports teams

references to age classifications in sports

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No Known Activations