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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
    11. 21767
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    Explanations

    instances of the abbreviation "AG" with higher weights given to iterations of the abbreviation with numbers (e.g., AG9, AG8)

    oai_token-act-pair · gpt-3.5-turbo

    references to genetic engineering or agricultural biotechnology

    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
    phrine
    -0.73
     fluids
    -0.70
    pper
    -0.68
    pite
    -0.67
    former
    -0.67
    oulos
    -0.64
    vol
    -0.64
     stead
    -0.63
    dates
    -0.63
    coming
    -0.62
    POSITIVE LOGITS
    EMENT
    1.00
    REE
    0.97
    reement
    0.96
    allery
    0.92
    GR
    0.92
    RIC
    0.91
    ATE
    0.90
    RAG
    0.90
    HHHH
    0.89
    dinand
    0.88
    Activations Density 0.006%

    No Known Activations