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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. 15705
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    Explanations

    mentions of a specific physical sensation or ailment, possibly related to pain or health issues

    oai_token-act-pair · gpt-3.5-turbo

    words associated with pain or discomfort

    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
    $$$$
    -0.68
    ODUCT
    -0.65
    DERR
    -0.65
     chrom
    -0.64
     introductory
    -0.63
     nationally
    -0.62
     anomal
    -0.59
     Jordanian
    -0.57
     impuls
    -0.57
     derog
    -0.57
    POSITIVE LOGITS
    rette
    1.02
    ache
    1.00
    chet
    0.93
    phrine
    0.91
    ternity
    0.90
    lla
    0.88
    utic
    0.88
    tto
    0.87
    ments
    0.87
    tta
    0.85
    Activations Density 0.006%

    No Known Activations