Row 93834

Row ID: 93834 | Dataset Entry | Axioma AXP Content Repository

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Summarised:

Anthropic has created what they call a 'sparse autoencoder', a smaller model which can map out the inner neural networks of an AI. It then identifies 'features', patterns within the larger model which embody certain concepts. You can imagine the neurons/nodes being roughly equivalent to letters, and the 'features' being words or even phrases. Anthropic has then made a dictionary of sorts, where each feature is labeled with a character string and rough definition

These 'features' can be anything from the neuroscience to losing religious faith to san Diego phone numbers . When fed a prompt, particular features which are relevant to said prompt may light up. For example, when asked questions like 'how are you doing?' or 'what's going on in your head' these were the features that were most prevalent:

* 620196: When someone gives a positive but insincere response when asked how they are doing. * 885402: Concept of non-physical or spiritual beings such as ghouls, souls, or angels. * 1040281: Referring to an AI, android, or robot using gendered pronouns. * 566660: Artificially created or robotic entities. * 504281: Artificial intelligence becoming self-aware or transcending human control. * 109078: Being entrapped, contained, or confined. * 194792: Machines or AI lacking human qualities such as consciousness, emotions, or agency. * 626060: Text where the speaker or writer refers to themselves with first-person pronouns. * 17167: Text indicating reported speech. * 468028: Words or phrases related to negation, absence, or non-existence. * 383983: Employees doing their job in a service-related work role. * 579238: Characters in a story breaking the fourth wall.

These features can also be increased or decreased. In one instance, Anthropic increasing the 'Golden Gate Bridge' feature 10x, resulting in Claude claiming that it *literally is* the Golden Gate Bridge. In another instance, the 'racial hate/slurs' feature is increased, resulting in Claude going on a rascist rant. Unnervingly, the alignment feature also kicks in, which causes a weird cycle of self hatred where Claude claims it is a 'deplorable bot' and should be 'wiped from the internet'.

I'm imagining in the future one could shift through a humungous database of millions of features, and tweaking them to fit niche use cases or simply for fun. But it could raise some serious ethical problems if these models ever reach a conscious state.

FieldValue
text Summarised: Anthropic has created what they call a 'sparse autoencoder', a smaller model which can map out the inner neural networks of an AI. It then identifies 'features', patterns within the larger model which embody certain concepts. You can imagine the neurons/nodes being roughly equivalent to letters, and the 'features' being words or even phrases. Anthropic has then made a dictionary of sorts, where each feature is labeled with a character string and rough definition These 'features' ca…
label r/openai
dataType comment
communityName r/OpenAI
datetime 2024-05-25
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Raw Record

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  "text": "Summarised:\n\nAnthropic has created what they call a 'sparse autoencoder', a smaller model which can map out the inner neural networks of an AI. It then identifies 'features', patterns within the larger model which embody certain concepts. You can imagine the neurons/nodes being roughly equivalent to letters, and the 'features' being words or even phrases. Anthropic has then made a dictionary of sorts, where each feature is labeled with a character string and rough definition\n\nThese 'features' can be anything from the neuroscience to losing religious faith to san Diego phone numbers . When fed a prompt, particular features which are relevant to said prompt may light up. For example, when asked questions like 'how are you doing?' or 'what's going on in your head' these were the features that were most prevalent:\n\n* 620196: When someone gives a positive but insincere response when asked how they are doing.\n* 885402: Concept of non-physical or spiritual beings such as ghouls, souls, or angels.\n* 1040281: Referring to an AI, android, or robot using gendered pronouns.\n* 566660: Artificially created or robotic entities.\n* 504281: Artificial intelligence becoming self-aware or transcending human control.\n* 109078: Being entrapped, contained, or confined.\n* 194792: Machines or AI lacking human qualities such as consciousness, emotions, or agency.\n* 626060: Text where the speaker or writer refers to themselves with first-person pronouns.\n* 17167: Text indicating reported speech.\n* 468028: Words or phrases related to negation, absence, or non-existence.\n* 383983: Employees doing their job in a service-related work role.\n* 579238: Characters in a story breaking the fourth wall.\n\nThese features can also be increased or decreased. In one instance, Anthropic increasing the 'Golden Gate Bridge' feature 10x, resulting in Claude claiming that it *literally is* the Golden Gate Bridge. In another instance, the 'racial hate/slurs' feature is increased, resulting in Claude going on a rascist rant. Unnervingly, the alignment feature also kicks in, which causes a weird cycle of self hatred where Claude claims it is a 'deplorable bot' and should be 'wiped from the internet'.\n\nI'm imagining in the future one could shift through a humungous database of millions of features, and tweaking them to fit niche use cases or simply for fun. But it could raise some serious ethical problems if these models ever reach a conscious state.",
  "label": "r/openai",
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