INDEX

Explanations

number sequences related to sports scores

oai_token-act-pair · gpt-3.5-turbo

negative sentiment or unfavorable outcomes in a context

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 9-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.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

gypt

-0.76

alam

-0.63

adelphia

-0.62

Lad

-0.61

bis

-0.61

 valued

-0.60

ucl

-0.59

 sher

-0.59

å°Ĩ

-0.58

 battered

-0.57

POSITIVE LOGITS

absolute

0.68

dden

0.67

Shift

0.67

0.64

itiveness

0.63

lessness

0.63

 sqor

0.62

ima

0.61

ovable

0.60

Activations Density 0.112%

number sequences related to sports scores

negative sentiment or unfavorable outcomes in a context

No Comments

No Known Activations