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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. 8599
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    Explanations

    phrases related to medical procedures, specifically transplants

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organ transplants and tattoos

    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
    Not in Any Lists

    No Comments

    Negative Logits
    furt
    -0.79
    asar
    -0.75
    clair
    -0.75
    sem
    -0.74
    ftime
    -0.73
    witz
    -0.73
     Lank
    -0.72
    wm
    -0.71
    wx
    -0.70
    xtap
    -0.69
    POSITIVE LOGITS
     transplant
    0.95
     recipient
    0.94
     surgery
    0.93
     surgeries
    0.93
     recipients
    0.90
    ation
    0.84
     transpl
    0.84
     surgeons
    0.83
    rafted
    0.82
     graft
    0.79
    Activations Density 0.088%

    No Known Activations