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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. 23199
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    Explanations

    references to generational cohorts, specifically focusing on Baby Boomers

    oai_token-act-pair · gpt-3.5-turbo

    references to the Baby Boomer generation

    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
    ictional
    -0.91
     legality
    -0.76
    iction
    -0.74
     ende
    -0.72
     neutrality
    -0.72
    orial
    -0.71
     anonymity
    -0.71
     merits
    -0.70
    atively
    -0.70
     referen
    -0.70
    POSITIVE LOGITS
     Baby
    1.24
    metal
    1.10
    Baby
    1.03
     Daddy
    0.93
     Mama
    0.93
     Doll
    0.92
     Bab
    0.92
     Males
    0.89
     Boy
    0.89
    cakes
    0.88
    Activations Density 0.009%

    No Known Activations