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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. 4918
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    Explanations

    mentions of security-related terms and issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to computer and network security

    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
    oric
    -0.84
    hes
    -0.82
    kson
    -0.80
     Kinn
    -0.69
     Weaver
    -0.65
    shire
    -0.65
    ting
    -0.64
     Mol
    -0.64
    inas
    -0.64
    zos
    -0.64
    POSITIVE LOGITS
    ailability
    0.85
     vulnerabilities
    0.84
    ilege
    0.83
     assurance
    0.80
     cryptographic
    0.80
     guards
    0.80
     cryptography
    0.76
     sandbox
    0.76
     posture
    0.75
    eties
    0.74
    Activations Density 0.023%

    No Known Activations