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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. 10-RES-JB
    11. 10300
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    Explanations

    requests for information or help related to various situations or incidents

    oai_token-act-pair · gpt-3.5-turbo

    requests for information related to missing persons or criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.82
    gemony
    -0.70
    ++++
    -0.69
    peror
    -0.69
    erenn
    -0.68
    universal
    -0.67
     Democr
    -0.67
     inval
    -0.65
     retire
    -0.65
     univers
    -0.62
    POSITIVE LOGITS
     information
    1.00
    Information
    0.97
     whereabouts
    0.87
    Anyone
    0.85
     spotting
    0.81
     tips
    0.81
    Investigators
    0.81
     insight
    0.79
     Information
    0.78
    Interested
    0.78
    Activations Density 0.095%

    No Known Activations