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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11845
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to research funding and institutional affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     revenge
    -0.95
    venge
    -0.92
     booze
    -0.81
     draining
    -0.79
     combust
    -0.77
     desperate
    -0.75
     worse
    -0.75
     swapping
    -0.73
     rivals
    -0.72
     Furious
    -0.72
    POSITIVE LOGITS
     Academic
    1.02
     Scholarship
    0.97
     Publications
    0.96
     Faculty
    0.94
    negie
    0.93
     Advisory
    0.92
    ospons
    0.91
     Cosponsors
    0.91
    uscript
    0.89
     scholarly
    0.89
    Activations Density 0.983%

    No Known Activations