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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. 3657
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    Explanations

    mentions of academic publications or journals, specifically "Proceedings of the National Academy of Sciences."

    oai_token-act-pair · gpt-3.5-turbo

    references to scholarly publications and academic topics

    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
    ifts
    -0.92
    owship
    -0.83
    taboola
    -0.74
    ifted
    -0.73
    arb
    -0.72
    ILY
    -0.70
    aina
    -0.69
    oldemort
    -0.69
    ãĤ·ãĥ£
    -0.67
    thumbnails
    -0.65
    POSITIVE LOGITS
     Parenthood
    0.91
     Parties
    0.90
     Alley
    0.90
     Accountability
    0.89
     Guys
    0.89
     Responsibility
    0.87
     Clause
    0.87
     Goals
    0.86
     Protection
    0.84
     Shooting
    0.84
    Activations Density 0.124%

    No Known Activations