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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. 24477
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    Explanations

    references to university sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to college sports teams and their affiliations

    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
     Ples
    -0.68
     refill
    -0.66
     magnification
    -0.65
     genres
    -0.64
     Riyadh
    -0.63
    atform
    -0.63
    creen
    -0.62
    ãĥ©
    -0.62
    oire
    -0.62
    ãĤ·
    -0.62
    POSITIVE LOGITS
     Athletics
    1.28
     athletics
    1.18
     Athletic
    1.14
     athletic
    1.08
    Football
    0.90
     alum
    0.89
     Stadium
    0.84
    upid
    0.82
    basketball
    0.81
     freshman
    0.80
    Activations Density 0.082%

    No Known Activations