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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. 5219
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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
    ';
    -0.65
     Recon
    -0.55
    :{
    -0.54
     sew
    -0.54
     Dak
    -0.54
    igraph
    -0.54
     guid
    -0.54
     Vu
    -0.53
    zag
    -0.53
     Proposition
    -0.53
    POSITIVE LOGITS
     albeit
    0.99
    possibly
    0.98
    perhaps
    0.98
    albeit
    0.89
    probably
    0.85
     notably
    0.80
     uh
    0.79
    fortunately
    0.77
     indeed
    0.77
     perhaps
    0.76
    Activations Density 0.161%

    No Known Activations