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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. 0-RES-JB
    11. 4904
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    INDEX
    Explanations

    references to customers or end users in a business context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "customer."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clips
    -0.68
    atures
    -0.67
    ods
    -0.66
    omsky
    -0.65
     reun
    -0.63
    ÏĤ
    -0.63
    rogens
    -0.62
    icides
    -0.60
    olas
    -0.60
    unes
    -0.59
    POSITIVE LOGITS
     customer
    3.59
     Customer
    2.82
    Customer
    2.74
     customers
    2.50
     Customers
    2.37
    custom
    1.78
     buyer
    1.75
     consumer
    1.69
     client
    1.64
     subscriber
    1.61
    Activations Density 0.014%

    No Known Activations