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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. 14796
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    Explanations

    phrases related to servers, especially focusing on aspects like access, vulnerability, and operation

    oai_token-act-pair · gpt-3.5-turbo

    references to computer servers

    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
    lihood
    -0.76
    POL
    -0.73
    sg
    -0.73
    umar
    -0.71
    ibility
    -0.70
     Stro
    -0.67
    NOW
    -0.67
    uro
    -0.66
    enegger
    -0.65
    isconsin
    -0.64
    POSITIVE LOGITS
     servers
    0.88
     admins
    0.84
     reception
    0.83
     overloaded
    0.81
     maid
    0.79
     server
    0.79
    erver
    0.79
     sshd
    0.77
     waitress
    0.72
    peak
    0.72
    Activations Density 0.011%

    No Known Activations