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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. 2-RES-JB
    11. 18358
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    Explanations

    companies related to transportation and ride-hailing services

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ride-sharing 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adow
    -0.74
    ãĥł
    -0.68
     Amend
    -0.66
    olesterol
    -0.65
    orial
    -0.65
     Presbyter
    -0.64
    warts
    -0.63
    ~~~~~~~~~~~~~~~~
    -0.63
    ãĥ¯
    -0.63
    DonaldTrump
    -0.63
    POSITIVE LOGITS
    mens
    0.93
    Uber
    0.86
    lane
    0.85
     Uber
    0.79
    Pool
    0.79
     Lyft
    0.75
    uber
    0.75
    bay
    0.71
    fet
    0.69
    whe
    0.67
    Activations Density 0.013%

    No Known Activations