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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. 3-RES-JB
    6. 11096
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    INDEX
    Explanations

    mentions of academic titles or positions, particularly "Professor"

    oai_token-act-pair · gpt-3.5-turbo

    references to professors and judges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.83
     queen
    -0.81
    sole
    -0.80
    OPA
    -0.75
    iscopal
    -0.72
    ESE
    -0.70
    azon
    -0.69
     foss
    -0.68
     router
    -0.68
     maiden
    -0.68
    POSITIVE LOGITS
     Leader
    0.87
     Universe
    0.86
     Justice
    0.83
     Clause
    0.83
     Lee
    0.81
     Colonel
    0.81
     Officer
    0.81
     Maj
    0.81
     Grant
    0.81
     Box
    0.80
    Activations Density 0.046%

    No Known Activations