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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. 5-RES-JB
    6. 3034
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    Explanations

    technical terms related to cyber attacks and security vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    references to cybersecurity threats and attacks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikk
    -0.86
    essional
    -0.82
    thumbnails
    -0.75
    iatrics
    -0.75
     Colon
    -0.74
    zl
    -0.73
    âĢ¢âĢ¢
    -0.73
    rians
    -0.71
     Yards
    -0.71
    Beer
    -0.70
    POSITIVE LOGITS
    CVE
    1.22
     malware
    1.21
     CVE
    1.20
     hackers
    1.05
     vulnerabilities
    1.04
     exploit
    1.03
     vulnerability
    1.03
     ransomware
    1.00
     cryptographic
    0.99
     hacker
    0.99
    Activations Density 0.187%

    No Known Activations