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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. 3825
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    Explanations

    high levels or concentrations of particular substances

    oai_token-act-pair · gpt-3.5-turbo

    quantities or levels of substances or materials

    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
    issance
    -0.69
    gets
    -0.63
    versely
    -0.57
     marqu
    -0.56
    eworld
    -0.54
    inally
    -0.54
     compr
    -0.52
    reciation
    -0.52
     Baron
    -0.51
    arde
    -0.51
    POSITIVE LOGITS
     thereof
    1.36
     of
    1.33
    poons
    1.13
    of
    1.02
    Of
    1.01
    oft
    1.00
     OF
    0.96
     Of
    0.94
    pring
    0.93
    paces
    0.88
    Activations Density 0.299%

    No Known Activations