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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. 6975
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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
    é¾įåĸļ士
    -0.80
    Jr
    -0.80
    Course
    -0.78
    ãĤ¿
    -0.70
    uddin
    -0.70
     Jinn
    -0.68
    Mos
    -0.67
    Gallery
    -0.66
    Ë
    -0.66
    sonian
    -0.66
    POSITIVE LOGITS
     loophole
    0.90
     expire
    0.89
     loopholes
    0.87
     expired
    0.84
     incentiv
    0.79
     Etsy
    0.78
     levied
    0.78
     scheme
    0.77
     shenanigans
    0.77
     Scheme
    0.77
    Activations Density 0.613%

    No Known Activations