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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
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    Explanations

    references to ridesharing companies, specifically Lyft

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rideshare companies, particularly Lyft

    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
    unta
    -0.93
    perture
    -0.84
    ourning
    -0.84
    aeda
    -0.82
    ulkan
    -0.77
    awaru
    -0.76
    pport
    -0.76
    ascus
    -0.74
    isoft
    -0.73
    anamo
    -0.73
    POSITIVE LOGITS
     Lyft
    0.80
     rides
    0.72
     Robin
    0.69
    lihood
    0.69
     Kers
    0.69
    eyes
    0.68
     Compan
    0.67
     Friedman
    0.66
     Fraz
    0.65
     Feldman
    0.64
    Activations Density 0.019%

    No Known Activations