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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 7627
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    Explanations

    technical terms related to security vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to cybersecurity vulnerabilities and exploits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikk
    -0.80
    thumbnails
    -0.79
    essional
    -0.77
    ohydrate
    -0.75
    iatrics
    -0.73
    mates
    -0.71
    addle
    -0.71
    eree
    -0.71
    âĢ¢âĢ¢
    -0.70
    cellence
    -0.70
    POSITIVE LOGITS
    CVE
    1.27
     CVE
    1.19
     vulnerabilities
    1.10
    WARE
    1.08
     hackers
    1.07
     malware
    1.06
    ulner
    1.03
     hacker
    1.01
     exploit
    0.99
    ulnerability
    0.98
    Activations Density 0.149%

    No Known Activations