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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. 9-RES-JB
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    Explanations

    mentions of the term "millennials."

    oai_token-act-pair · gpt-3.5-turbo

    references to the millennial generation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Licensed
    -0.81
    manship
    -0.78
    éĢ
    -0.72
    etr
    -0.71
    staff
    -0.69
    ichick
    -0.68
    emark
    -0.66
    mosp
    -0.66
    letal
    -0.65
    ãĤ´ãĥ³
    -0.64
    POSITIVE LOGITS
     generation
    0.87
     Millenn
    0.81
     millennials
    0.81
     adulthood
    0.81
     Millennials
    0.78
     Generation
    0.78
     demographic
    0.75
    naires
    0.74
     voters
    0.74
     millennial
    0.72
    Activations Density 0.074%

    No Known Activations