INDEX

Explanations

has

np_max-act · gemini-2.0-flash

The neuron tends to pick out common topical nouns (e.g. “landscape,” “ministry,” “business,” “library”) and related quantifiers (“all,” “every,” “its”) that signal the main subjects or themes of a passage.

oai_token-act-pair · o4-mini Triggered by @xinyanhu8

New Auto-Interp

Configuration

andyrdt/saes-llama-3.1-8b-instruct/resid_post_layer_11/trainer_1

Dataset (Dashboard)

Various

Features

131,072

Data Type

float32

Hook Name

blocks.11.hook_resid_post

Architecture

standard

Context Size

1,024

Dataset

monology/pile-uncopyrighted

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

"""

-0.07

 Origins

-0.06

Moh

-0.06

onestly

-0.06

<|eot_id|>

-0.06

BJ

-0.06

교회

-0.06

.custom

-0.06

.sky

-0.06

********************

-0.05

POSITIVE LOGITS

 xAxis

0.07

 lookahead

0.07

γκε

0.07

องท

0.07

[port

0.07

سبب

0.07

[DllImport

0.06

 pornstar

0.06

latable

0.06

 багат

0.06

Activations Density 0.041%

has

The neuron tends to pick out common topical nouns (e.g. “landscape,” “ministry,” “business,” “library”) and related quantifiers (“all,” “every,” “its”) that signal the main subjects or themes of a passage.

No Comments

No Known Activations

has

The neuron tends to pick out common topical nouns (e.g. “landscape,” “ministry,” “business,” “library”) and related quantifiers (“all,” “every,” “its”) that signal the main subjects or themes of a passage.

No Comments

No Known Activations