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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. 2-RES-JB
    11. 18774
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    Explanations

    references to different generations, such as Generation X, Y, and Millennials

    oai_token-act-pair · gpt-3.5-turbo

    references to different generations, particularly Generation X, Millennials, and Generation Z

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hosp
    -0.73
    uckland
    -0.71
    phis
    -0.69
     rig
    -0.68
    psey
    -0.68
    olulu
    -0.67
    rup
    -0.67
    ounty
    -0.67
    querque
    -0.66
    phys
    -0.66
    POSITIVE LOGITS
     Generations
    1.11
     Generation
    1.02
    idable
    0.86
    azi
    0.80
    naire
    0.76
     XY
    0.76
     Fighters
    0.74
     Memories
    0.73
     Viz
    0.72
    adelphia
    0.72
    Activations Density 0.018%

    No Known Activations