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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. 11172
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    Explanations

    references to wedding-related activities with a focus on the role of the groom

    oai_token-act-pair · gpt-3.5-turbo

    terms related to grooms and brides, particularly in the context of weddings

    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
    odium
    -0.71
    itamin
    -0.68
     MacArthur
    -0.65
    izoph
    -0.65
     Flavoring
    -0.61
    oker
    -0.58
     USA
    -0.58
     Universal
    -0.58
     unlaw
    -0.57
    ocalyptic
    -0.57
    POSITIVE LOGITS
     groom
    1.26
    xual
    1.00
    eering
    0.90
    bones
    0.90
    wra
    0.90
    stakes
    0.87
    ed
    0.81
    edo
    0.80
    bone
    0.79
    crow
    0.79
    Activations Density 0.004%

    No Known Activations