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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. 10-RES-JB
    11. 9246
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    Explanations

    phrases related to public transportation systems

    oai_token-act-pair · gpt-3.5-turbo

    references to transportation infrastructure projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.93
    natureconservancy
    -0.93
    wcsstore
    -0.82
     KDE
    -0.77
     dab
    -0.77
    nsics
    -0.75
     Cookies
    -0.75
    \'
    -0.73
    icum
    -0.73
     Manafort
    -0.72
    POSITIVE LOGITS
     trains
    1.91
     rail
    1.72
     commuter
    1.72
     railways
    1.67
     Rail
    1.65
     Amtrak
    1.64
    Rail
    1.61
     passenger
    1.60
     Transit
    1.57
     streetcar
    1.57
    Activations Density 0.378%

    No Known Activations