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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. 19395
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    keywords related to customization and tailoring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to customization and tailoring

    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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    Negative Logits
     Mub
    -0.69
    sea
    -0.69
     Sage
    -0.69
    ĺ
    -0.69
    die
    -0.67
    Ze
    -0.65
    Sea
    -0.65
     Apostle
    -0.65
     Alive
    -0.64
     NCT
    -0.64
    POSITIVE LOGITS
     tailor
    1.31
     tailored
    1.31
    isode
    0.86
     suit
    0.86
     suits
    0.83
    velength
    0.79
    awaru
    0.78
     tuned
    0.78
     tuning
    0.78
    raviolet
    0.76
    Activations Density 0.013%

    No Known Activations