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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. 4-RES-JB
    11. 21986
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    Explanations

    references to sporting events held in a specific location (home games)

    oai_token-act-pair · gpt-3.5-turbo

    references to home games in sports contexts

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

    No Comments

    Negative Logits
    uality
    -0.73
    ascript
    -0.73
    enegger
    -0.71
    Doctors
    -0.71
    Files
    -0.68
     Canaver
    -0.68
    urities
    -0.66
    Medical
    -0.66
    assic
    -0.66
    ickr
    -0.65
    POSITIVE LOGITS
    grown
    0.92
     opener
    0.89
     games
    0.84
    coming
    0.76
     visitation
    0.73
     Royals
    0.73
     Wildcats
    0.73
     playoff
    0.73
     occupant
    0.69
    court
    0.68
    Activations Density 0.031%

    No Known Activations