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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. 3-RES-JB
    11. 5450
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    Explanations

    code comments and annotations

    oai_token-act-pair · gpt-3.5-turbo

    the presence of comment or syntax indicators in code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iday
    -0.79
     Bundy
    -0.77
    adelphia
    -0.75
    apolis
    -0.74
     Scotia
    -0.74
    azing
    -0.73
    venge
    -0.73
    haul
    -0.73
    zon
    -0.71
    ocular
    -0.70
    POSITIVE LOGITS
    --------------------------------------------------------
    1.03
    /*
    0.95
    ================================================================
    0.91
    catentry
    0.89
    /**
    0.88
    Ô
    0.84
    BuyableInstoreAndOnline
    0.84
     /*
    0.79
    cano
    0.78
     ********************************
    0.74
    Activations Density 0.014%

    No Known Activations