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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. 3614
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    Explanations

    sports team names or similar entities, possibly related to a specific location or event

    oai_token-act-pair · gpt-3.5-turbo

    names of sports teams and notable individuals

    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
     guiName
    -1.01
    etheless
    -0.81
    ãĢİ
    -0.72
    ãĢIJ
    -0.68
     glim
    -0.67
     [/
    -0.61
    %.
    -0.60
    fml
    -0.60
     [];
    -0.60
     toget
    -0.59
    POSITIVE LOGITS
    )
    1.80
    )"
    1.70
    )'
    1.69
    ),
    1.69
    )."
    1.61
    ),"
    1.58
    )|
    1.58
    )/
    1.55
    ):
    1.54
    ).
    1.53
    Activations Density 0.443%

    No Known Activations