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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. 3-RES-JB
    11. 6485
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    Explanations

    terms related to ridesharing companies, specifically "Uber" and "Lyft."

    oai_token-act-pair · gpt-3.5-turbo

    references to rideshare companies, particularly Uber and Lyft

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olesterol
    -0.75
    sembly
    -0.75
    orial
    -0.71
    adow
    -0.69
    ä¿
    -0.69
    ãĥł
    -0.69
    ãĥ¯
    -0.68
    warts
    -0.68
    èª
    -0.67
     Retro
    -0.66
    POSITIVE LOGITS
    mens
    0.87
     Uber
    0.79
    Pool
    0.79
     Lyft
    0.78
    Uber
    0.78
    lane
    0.77
    onomy
    0.73
    bay
    0.71
     Motors
    0.70
    uber
    0.69
    Activations Density 0.013%

    No Known Activations