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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. 7235
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    INDEX
    Explanations

    references to various sports

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a particular sport

    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
    idges
    -0.78
    ignt
    -0.72
     porous
    -0.69
    mercial
    -0.68
     sidx
    -0.64
    ppelin
    -0.63
     Reincarnated
    -0.63
     Liberties
    -0.62
     defective
    -0.61
     pts
    -0.60
    POSITIVE LOGITS
    sw
    1.18
    scar
    1.02
    nell
    1.02
    club
    0.89
    Sport
    0.88
    bike
    0.84
    sc
    0.84
    iest
    0.80
    spe
    0.77
    ERN
    0.77
    Activations Density 0.008%

    No Known Activations