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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. 3-RES-JB
    11. 16473
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    Explanations

    technical terms related to computing such as servers, mainframe, Linux

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mainstream media and characters in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lys
    -0.71
     Klux
    -0.70
     masse
    -0.69
    bees
    -0.66
    sol
    -0.64
    oult
    -0.63
     dolphins
    -0.63
    unte
    -0.61
     goats
    -0.61
    EStream
    -0.60
    POSITIVE LOGITS
     contender
    0.81
    edly
    0.72
     contenders
    0.71
     Reasons
    0.69
     (>
    0.67
     Secondary
    0.65
    iary
    0.64
    Initialized
    0.64
     Revival
    0.63
    liners
    0.63
    Activations Density 0.234%

    No Known Activations