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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5719
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    Explanations

    words related to mortality or endings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to death and mortality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.64
     Wheeler
    -0.64
     Carbuncle
    -0.61
     prescribed
    -0.61
     peeled
    -0.60
     Shining
    -0.59
    Book
    -0.58
     deducted
    -0.58
    ECH
    -0.57
    initely
    -0.56
    POSITIVE LOGITS
    gue
    1.06
    aceutical
    0.92
    gage
    0.90
    iday
    0.87
    cade
    0.84
    mpeg
    0.82
    umn
    0.82
    utes
    0.80
    idian
    0.79
    atin
    0.79
    Activations Density 0.031%

    No Known Activations