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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. 11-RES-JB
    11. 24143
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    Explanations

    feedback or comments from customers regarding performance and service features

    oai_token-act-pair · gpt-3.5-turbo

    references to customer feedback and user experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.75
    ingu
    -0.75
    doc
    -0.68
    inventoryQuantity
    -0.67
    estern
    -0.67
    paren
    -0.67
    Dialogue
    -0.65
    xon
    -0.65
    bert
    -0.65
    epad
    -0.63
    POSITIVE LOGITS
     customers
    1.99
     subscribers
    1.80
     users
    1.71
     Customers
    1.61
     consumers
    1.61
     shoppers
    1.49
     buyers
    1.37
     clients
    1.37
     Users
    1.32
     employees
    1.28
    Activations Density 0.425%

    No Known Activations