INDEX

Explanations

references to scoring points in a sports context

oai_token-act-pair · gpt-3.5-turbo

references to scoring in sports contexts

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

UAL

-0.75

nee

-0.69

ships

-0.66

ship

-0.62

ðĿ

-0.62

Ì¶

-0.61

agan

-0.60

áµ

-0.60

fet

-0.59

lly

-0.58

POSITIVE LOGITS

 scoring

1.10

otle

0.92

scoring

0.86

 scored

0.86

 scores

0.83

ificant

0.80

allery

0.79

 score

0.79

cards

0.78

apter

0.73

Activations Density 0.005%

references to scoring points in a sports context

references to scoring in sports contexts

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No Known Activations