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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. 4-RES-JB
    11. 4708
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    Explanations

    keywords related to HTTP protocols and caching

    oai_token-act-pair · gpt-3.5-turbo

    mentions of HTTP and related web protocols

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

    No Comments

    Negative Logits
    rolet
    -0.80
    bourg
    -0.73
    ________________
    -0.73
    Solar
    -0.71
    itism
    -0.71
    Downloadha
    -0.69
    ku
    -0.68
    ggies
    -0.68
    ynski
    -0.68
    awatts
    -0.67
    POSITIVE LOGITS
     HTTP
    1.06
    ://
    1.03
    HTTP
    1.01
     headers
    0.87
     connectivity
    0.76
    Client
    0.76
    Connection
    0.76
    retty
    0.75
     authentication
    0.75
     HTTPS
    0.75
    Activations Density 0.022%

    No Known Activations