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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. 11-RES-JB
    11. 605
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    Explanations

    words related to generational labels such as "Generation X" or "Millennials."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific generational labels and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amina
    -0.98
    aleigh
    -0.79
    yer
    -0.79
    ern
    -0.68
    eneg
    -0.65
    lyak
    -0.65
    abre
    -0.64
    abl
    -0.63
    pmwiki
    -0.63
    reon
    -0.63
    POSITIVE LOGITS
     Generations
    0.91
     generation
    0.87
    naire
    0.86
     inher
    0.83
     Generation
    0.80
     generational
    0.78
     generations
    0.77
    aires
    0.72
     gap
    0.71
    naires
    0.71
    Activations Density 0.049%

    No Known Activations