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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. 1-RES-JB
    11. 2348
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    Explanations

    references to Auburn University

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Auburn University

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipping
    -0.81
    ipper
    -0.76
    ipped
    -0.76
    ippers
    -0.75
    VICE
    -0.69
    Magikarp
    -0.68
    ++++
    -0.68
     thirsty
    -0.67
    ++++++++++++++++
    -0.66
    aiden
    -0.65
    POSITIVE LOGITS
     Auburn
    1.13
     Hills
    0.93
    hurst
    0.89
    rament
    0.89
    urst
    0.85
    shire
    0.82
    mson
    0.80
     Tigers
    0.78
     LSU
    0.76
    keye
    0.75
    Activations Density 0.006%

    No Known Activations