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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 768
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    Explanations

    proper nouns or names of specific objects

    oai_token-act-pair · gpt-3.5-turbo

    specific origins and classifications of entities or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    sequences of words or characters with emphasis on objects or items, particularly those that carry specific descriptors like colors, measurements, or functionalities.

    oai_token-act-pair · gpt-4oTriggered by @tatsatx
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     todd
    0.71
    eln
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     dancer
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    acia
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    )."
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    ";
    0.61
    ).[
    0.59
     prest
    0.58
    "/>
    0.58
    Activations Density 1.304%

    No Known Activations