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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
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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
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    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.67
    creen
    -0.63
     compartment
    -0.63
     Luxembourg
    -0.63
     pardon
    -0.63
    hire
    -0.62
     sofa
    -0.61
     Chern
    -0.60
     smugglers
    -0.60
    igree
    -0.60
    POSITIVE LOGITS
     athletics
    1.36
     freshman
    1.24
     Athletics
    1.23
     athletic
    1.16
     University
    1.14
     alum
    1.12
    keyes
    1.12
     sophomore
    1.10
     alumni
    1.09
    Football
    1.08
    Activations Density 0.257%

    No Known Activations