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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. 9147
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    Explanations

    neurons activated by common phrases and sentences in a variety of contexts

    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
    ancial
    -0.76
    LCS
    -0.73
    elaide
    -0.73
    Requirements
    -0.70
    Sorry
    -0.70
    mint
    -0.69
    huge
    -0.68
    doctor
    -0.67
    FIX
    -0.67
    Location
    -0.66
    POSITIVE LOGITS
     Roberts
    1.08
     Kahn
    1.06
     Watt
    1.06
     Daniels
    1.02
     Sullivan
    1.01
     Moore
    1.00
     Snyder
    0.99
     Bender
    0.97
     Zimmerman
    0.97
     Wheeler
    0.97
    Activations Density 0.179%

    No Known Activations