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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. 9-RES-JB
    11. 16447
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Koran
    -0.70
     cler
    -0.69
     restitution
    -0.68
    gencies
    -0.65
    ullivan
    -0.65
     barr
    -0.65
     occupational
    -0.65
     deport
    -0.65
     quar
    -0.64
     Treasurer
    -0.64
    POSITIVE LOGITS
     teaser
    0.93
     debuted
    0.88
     Kickstarter
    0.82
     Indie
    0.81
    atform
    0.78
    gamer
    0.77
    laun
    0.77
     previews
    0.76
     crowdfunding
    0.76
     premiered
    0.75
    Activations Density 0.352%

    No Known Activations