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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. 13944
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals

    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
    BOOK
    -0.69
     duck
    -0.69
     nap
    -0.68
     Dragons
    -0.67
    ür
    -0.67
     Spaces
    -0.67
    CAR
    -0.67
     Shark
    -0.66
    ĨĴ
    -0.65
    Haunted
    -0.64
    POSITIVE LOGITS
     Patel
    3.89
     Buchanan
    1.80
     Gupta
    1.46
     Gujar
    1.26
     Sharma
    1.23
     McGee
    1.22
     Gross
    1.15
     Gutierrez
    1.12
    chini
    1.08
    aza
    1.02
    Activations Density 0.031%

    No Known Activations