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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. 17074
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    Explanations

    records of sporting events or achievements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports records and performance statistics

    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
    uana
    -0.76
    gypt
    -0.75
    AFTA
    -0.72
    lez
    -0.69
    adies
    -0.67
    zos
    -0.65
    tan
    -0.64
    fa
    -0.64
    xit
    -0.63
    edi
    -0.62
    POSITIVE LOGITS
     breaker
    0.99
     record
    0.89
     Record
    0.89
     Breaker
    0.86
    breaker
    0.79
    keeping
    0.75
     Records
    0.75
    breakers
    0.75
    breaking
    0.74
     Keeper
    0.74
    Activations Density 0.014%

    No Known Activations