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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. 4-RES-JB
    11. 2194
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    Explanations

    references to the source or origin of something

    oai_token-act-pair · gpt-3.5-turbo

    references to "sources" of information or influence

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

    No Comments

    Negative Logits
    wagen
    -0.78
    enegger
    -0.72
    Merit
    -0.69
    nets
    -0.68
     externalToEVAOnly
    -0.68
    azon
    -0.67
    PASS
    -0.66
    rine
    -0.66
    ington
    -0.65
    iors
    -0.64
    POSITIVE LOGITS
     propulsion
    0.72
     wealth
    0.71
     communication
    0.68
    thood
    0.67
     sust
    0.67
     inspiration
    0.67
     contamination
    0.64
     disruption
    0.63
     funding
    0.63
     medicine
    0.63
    Activations Density 0.136%

    No Known Activations