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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. 3-RES-JB
    11. 3877
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    Explanations

    references to the .NET framework

    oai_token-act-pair · gpt-3.5-turbo

    mentions of .NET technology and related development frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isters
    -0.71
    aca
    -0.69
     Fukushima
    -0.68
    Synopsis
    -0.67
    ange
    -0.62
    arts
    -0.62
    =-=-=-=-
    -0.61
    netflix
    -0.60
    quez
    -0.60
     Enrique
    -0.59
    POSITIVE LOGITS
    WORK
    1.26
    NET
    1.07
    heastern
    1.00
    anyahu
    0.91
    izen
    0.82
    FL
    0.82
    runner
    0.82
    heast
    0.78
    TE
    0.75
    hester
    0.75
    Activations Density 0.007%

    No Known Activations