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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. 2-RES-JB
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    Explanations

    the word "Principality"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Princeton" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.72
    enstein
    -0.69
    ORGE
    -0.64
     forth
    -0.63
     Shelter
    -0.62
     Forth
    -0.61
     Dahl
    -0.61
     Goo
    -0.59
    ãģ¦
    -0.59
     pand
    -0.58
    POSITIVE LOGITS
    iple
    1.04
    ips
    1.01
    ip
    0.96
    ulty
    0.93
    ipment
    0.93
    ipal
    0.83
    acists
    0.82
    auga
    0.82
    ippi
    0.81
    monary
    0.81
    Activations Density 0.011%

    No Known Activations