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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. 10-RES-JB
    11. 4585
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    Explanations

    specific entities, such as organizations, locations, and technologies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports teams and their management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.59
    ãĢİ
    -0.59
    ADVERTISEMENT
    -0.55
     guiName
    -0.55
    ãĢIJ
    -0.54
    à©
    -0.54
    Synopsis
    -0.54
    AFTA
    -0.53
    umbn
    -0.53
    ebted
    -0.52
    POSITIVE LOGITS
    ?).
    1.98
    !).
    1.82
    ?),
    1.82
    !),
    1.81
    )."
    1.72
    ?)
    1.71
    ).
    1.64
    )?
    1.57
    !)
    1.55
    ),
    1.54
    Activations Density 0.466%

    No Known Activations