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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. 8389
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    oai_token-act-pair · gpt-3.5-turbo
    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
    ̶
    -0.69
    —"
    -0.68
    annabin
    -0.67
    enough
    -0.67
     Canaver
    -0.63
     Shutterstock
    -0.62
    ften
    -0.61
    ,''
    -0.61
    THIS
    -0.61
     ,"
    -0.60
    POSITIVE LOGITS
    cellaneous
    1.05
     ones
    0.83
     oriented
    0.83
     newcom
    0.79
     equivalents
    0.75
     integration
    0.72
     elim
    0.71
     versa
    0.71
     themed
    0.68
     consolation
    0.67
    Activations Density 0.612%

    No Known Activations