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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. 0-RES-JB
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    Explanations

    references or discussions related to digital technology or assets

    oai_token-act-pair · gpt-3.5-turbo

    references to digital technology and digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horm
    -0.79
    icum
    -0.79
     Ing
    -0.75
     Nug
    -0.74
    emi
    -0.71
    autions
    -0.71
     Bolton
    -0.71
    helle
    -0.71
    Sov
    -0.71
    olph
    -0.70
    POSITIVE LOGITS
     digital
    3.41
    digital
    2.79
    Digital
    2.59
     Digital
    2.56
     digitally
    2.56
     electronic
    1.77
     digit
    1.64
     electronically
    1.56
     virtual
    1.54
     cyber
    1.53
    Activations Density 0.014%

    No Known Activations