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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. 3-RES-JB
    11. 20860
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    Explanations

    personal or sensitive information in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or sensitive information

    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
    knit
    -0.82
    mount
    -0.77
     Towns
    -0.76
    Pitt
    -0.72
    grad
    -0.72
    arak
    -0.68
     Bed
    -0.67
    ills
    -0.67
    earth
    -0.66
    aughs
    -0.65
    POSITIVE LOGITS
     passwords
    0.85
     encryption
    0.82
     breaches
    0.82
    abilia
    0.82
     intercepted
    0.81
     information
    0.79
     harvesting
    0.78
     databases
    0.78
     packet
    0.77
     brokers
    0.77
    Activations Density 0.042%

    No Known Activations