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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. 9-RES-JB
    11. 5652
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.72
    Newsletter
    -0.69
    foreseen
    -0.68
    Express
    -0.62
    velength
    -0.61
    ãĢİ
    -0.60
    ablish
    -0.60
    SPONSORED
    -0.60
    resents
    -0.59
    ocused
    -0.58
    POSITIVE LOGITS
    !),
    1.94
    !)
    1.89
    !).
    1.87
    ?),
    1.78
    ?).
    1.77
    ?)
    1.76
    >)
    1.60
    )!
    1.59
    *)
    1.58
    ),
    1.57
    Activations Density 0.550%

    No Known Activations