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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. 0-RES-JB
    11. 16600
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    INDEX
    Explanations

    mentions of scientists and their roles or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to scientists and their roles or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unaccompanied
    -0.75
    ippers
    -0.73
    bars
    -0.72
    windows
    -0.68
     Lions
    -0.68
     Ame
    -0.67
    Interstitial
    -0.67
     Rooms
    -0.67
     lenders
    -0.67
    ews
    -0.66
    POSITIVE LOGITS
     scientist
    3.31
     Scientist
    2.71
     biologist
    1.85
     chemist
    1.84
     physicist
    1.83
    scient
    1.71
     science
    1.60
     researcher
    1.53
     mathematician
    1.48
    science
    1.46
    Activations Density 0.013%

    No Known Activations