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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. 11-RES-JB
    6. 3023
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    Explanations

    specific activities related to online communities or platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to performance metrics or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibur
    -0.65
     abl
    -0.58
     Rodrig
    -0.55
    ICES
    -0.55
     Pearce
    -0.54
    Bloomberg
    -0.54
    raint
    -0.53
    jer
    -0.53
     Anthem
    -0.53
    ãĥ¼ãĥĨ
    -0.53
    POSITIVE LOGITS
    :
    0.73
    ceived
    0.65
    umbs
    0.64
    ertodd
    0.64
    %:
    0.62
    ascript
    0.62
     Percentage
    0.62
    :"
    0.61
    :#
    0.58
    usercontent
    0.57
    Activations Density 0.049%

    No Known Activations