INDEX

Explanations

instances of the verb "to be" in different tenses, particularly in relation to reports of injuries or casualties

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

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 8-res_fs49152-jb

Configuration

jbloom/GPT2-Small-Feature-Splitting-Experiment-Layer-8/blocks.8.hook_resid_pre_49152

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

49,152

Data Type

torch.float32

Hook Point

blocks.8.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

inventoryQuantity

-0.89

 Gutenberg

-0.83

 Solution

-0.82

 Achieve

-0.75

 Grass

-0.75

 Scrib

-0.75

 Gleaming

-0.73

 Dragonbound

-0.72

ciation

-0.71

sonian

-0.69

POSITIVE LOGITS

 hospitalized

1.32

 injured

1.31

 killed

1.20

 arrested

1.17

 detained

1.16

 evacuated

1.12

 wounded

1.04

 murdered

1.03

 ejected

1.01

 interviewed

0.98

Activations Density 0.089%

instances of the verb "to be" in different tenses, particularly in relation to reports of injuries or casualties

No Comments

No Known Activations