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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. 3772
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    Explanations

    words related to sustainability and the ability to maintain something

    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
    owler
    -0.74
    ramid
    -0.73
    ology
    -0.72
    ography
    -0.71
    onym
    -0.71
     Mehran
    -0.69
    ographical
    -0.68
     Jere
    -0.68
    imation
    -0.67
    ographies
    -0.65
    POSITIVE LOGITS
    ably
    1.23
    mental
    0.99
    ently
    0.96
     sustained
    0.89
    edly
    0.87
    ency
    0.87
    ment
    0.81
    ibly
    0.81
    ments
    0.80
    ly
    0.79
    Activations Density 0.075%

    No Known Activations