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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. 10-RES-JB
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    Explanations

    references to computer network-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to network protocols and addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Harley
    -0.82
    Batman
    -0.78
    Keefe
    -0.77
    âĢ¢âĢ¢
    -0.77
     Asuka
    -0.76
    Pain
    -0.75
     Calvin
    -0.74
    herty
    -0.74
    etti
    -0.73
     Tate
    -0.73
    POSITIVE LOGITS
     IPv
    1.68
     DHCP
    1.68
     DNS
    1.56
     TCP
    1.44
     router
    1.43
     firewall
    1.39
     UDP
    1.37
     Router
    1.37
     routers
    1.37
     VPN
    1.35
    Activations Density 0.374%

    No Known Activations