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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. 3-RES-JB
    11. 9513
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    Explanations

    phrases related to pre-ordering products or services

    oai_token-act-pair · gpt-3.5-turbo

    language related to pre-orders and reservations for products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mi
    -0.76
    nets
    -0.69
     Schmidt
    -0.66
     Citiz
    -0.66
    uba
    -0.65
    laus
    -0.64
     Retirement
    -0.64
    mad
    -0.62
     Aging
    -0.61
     Pension
    -0.61
    POSITIVE LOGITS
    eers
    0.91
    ertodd
    0.83
    ordering
    0.79
     tickets
    0.79
    ItemTracker
    0.78
    orders
    0.77
    etary
    0.77
    ership
    0.76
    Purchase
    0.76
    enfranch
    0.75
    Activations Density 0.021%

    No Known Activations