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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
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    Explanations

    references to specific universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities, particularly Northwestern and Purdue

    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
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    No Comments

    Negative Logits
     mined
    -0.65
    complex
    -0.65
     ridden
    -0.64
     harvesting
    -0.63
     hearty
    -0.61
    orders
    -0.61
     fulfilling
    -0.60
    ches
    -0.59
     garg
    -0.58
    rg
    -0.58
    POSITIVE LOGITS
     University
    1.16
    University
    0.98
     Univ
    0.98
     Libraries
    0.94
    essors
    0.90
     Mutual
    0.89
    urdue
    0.85
     faculty
    0.85
     Students
    0.84
    uates
    0.83
    Activations Density 0.020%

    No Known Activations