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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. 7-RES-JB
    11. 9817
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    Explanations

    terms related to networking and network protocols, with a focus on IPv4, IPv6, NAT, DHCP, Ethernet, and routing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to internet protocols and networking technologies

    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
    arians
    -0.84
    herty
    -0.83
    issance
    -0.83
    arian
    -0.82
    iatus
    -0.79
    20439
    -0.78
    venant
    -0.78
    ilts
    -0.75
    itar
    -0.75
    hunt
    -0.74
    POSITIVE LOGITS
     connectivity
    1.11
    addr
    1.03
     router
    1.02
     routers
    1.01
     Router
    1.00
     bandwidth
    0.99
     TCP
    0.96
     IPv
    0.95
     UDP
    0.95
     networking
    0.93
    Activations Density 0.102%

    No Known Activations