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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. 6-RES-JB
    11. 461
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    Explanations

    terms related to HTTP and caching

    oai_token-act-pair · gpt-3.5-turbo

    references to HTTP and its related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hani
    -0.78
    arist
    -0.77
    bourg
    -0.75
    rolet
    -0.74
    borough
    -0.72
    angelo
    -0.71
    ethy
    -0.70
    bryce
    -0.70
    Solar
    -0.70
    ggies
    -0.69
    POSITIVE LOGITS
     HTTP
    1.13
    ://
    1.07
    HTTP
    0.97
     connection
    0.88
     UDP
    0.87
    Connection
    0.86
     traffic
    0.85
     headers
    0.84
     connections
    0.84
    Client
    0.84
    Activations Density 0.038%

    No Known Activations