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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8518
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    Explanations

    mentions of positive audience reactions like standing ovations

    oai_token-act-pair · gpt-3.5-turbo

    the word "standing" in various contexts and usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilers
    -0.83
    iler
    -0.75
     [|
    -0.73
    ocaly
    -0.72
    egu
    -0.71
    ffic
    -0.71
    rez
    -0.71
    esters
    -0.70
    xy
    -0.70
    killer
    -0.69
    POSITIVE LOGITS
    still
    1.06
     upright
    0.87
     tall
    0.77
     desks
    0.74
     taller
    0.71
     seiz
    0.68
     steadfast
    0.68
     ov
    0.68
    anke
    0.66
     unst
    0.66
    Activations Density 0.016%

    No Known Activations