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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. 4-RES-JB
    11. 20104
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    Explanations

    phrases related to design elements, file management, and project optimization

    oai_token-act-pair · gpt-3.5-turbo

    structured or organized elements of various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    )</
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    .</
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     aven
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     overtime
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     respectively
    -0.59
    POSITIVE LOGITS
     Own
    0.96
     Credits
    0.91
     Loop
    0.89
     Cards
    0.87
     Course
    0.86
     Shots
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     Behind
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     Holder
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     Relationship
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     Releases
    0.85
    Activations Density 0.437%

    No Known Activations