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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. 23909
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    Explanations

    references to HTTP-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to HTTP and web protocols

    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
    cum
    -0.80
    bryce
    -0.78
    arist
    -0.77
    ynski
    -0.76
    ________________
    -0.75
    bourg
    -0.74
    vette
    -0.73
    lie
    -0.73
    ggies
    -0.72
    hani
    -0.72
    POSITIVE LOGITS
    ://
    1.07
     HTTP
    1.04
     connection
    0.96
     connections
    0.94
    HTTP
    0.92
     traffic
    0.91
     headers
    0.89
     connectivity
    0.89
     UDP
    0.87
     Connection
    0.87
    Activations Density 0.054%

    No Known Activations