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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. 0-RES-JB
    11. 18986
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    oai_token-act-pair · gpt-3.5-turbo

    specific characters or sequences often used in encoded text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pen
    -0.69
     cane
    -0.69
     tops
    -0.65
     snap
    -0.65
     lapse
    -0.61
     Cards
    -0.60
     pen
    -0.60
     unit
    -0.60
     puts
    -0.60
     suspension
    -0.59
    POSITIVE LOGITS
    оÐ
    3.91
    и
    1.93
    Ñĥ
    1.91
    о
    1.91
    а
    1.82
    е
    1.78
    ÑĢ
    1.74
    Ñĭ
    1.70
    Ñı
    1.66
    л
    1.62
    Activations Density 0.013%

    No Known Activations