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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. 6-RES-JB
    11. 371
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    Explanations

    references to sports events happening at a team's home venue

    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 @ 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
    enegger
    -0.80
    opian
    -0.73
    uality
    -0.72
    ascript
    -0.70
    ifter
    -0.70
    xxxx
    -0.69
    olini
    -0.66
    abis
    -0.66
    assic
    -0.65
    uary
    -0.65
    POSITIVE LOGITS
    grown
    0.87
    coming
    0.80
     opener
    0.79
     playoff
    0.71
    comings
    0.70
     games
    0.69
     Wildcats
    0.68
     rivalry
    0.68
     rink
    0.66
    Raven
    0.65
    Activations Density 0.030%

    No Known Activations