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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. 23795
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    Explanations

    sports teams and related entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams

    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
    eline
    -0.70
    ranging
    -0.69
    dr
    -0.67
    ement
    -0.67
    ements
    -0.67
    Sov
    -0.65
    growth
    -0.65
    actionDate
    -0.64
    versions
    -0.63
    ounced
    -0.63
    POSITIVE LOGITS
    士
    0.79
     Athletics
    0.73
     Museum
    0.72
     shortstop
    0.68
    iseum
    0.68
    iuses
    0.68
     Athletic
    0.67
    uden
    0.67
     aven
    0.67
     Retirement
    0.66
    Activations Density 0.091%

    No Known Activations