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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
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    references related to the Toronto Maple Leafs hockey team

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Maple Leafs," a professional ice hockey team

    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
    uthor
    -0.71
    WR
    -0.70
     intercourse
    -0.66
     sex
    -0.65
     abort
    -0.65
     electrode
    -0.64
    Sex
    -0.64
    ption
    -0.63
    GU
    -0.63
    hea
    -0.63
    POSITIVE LOGITS
     Maple
    4.08
     maple
    2.58
     Leafs
    1.56
     Elm
    1.32
     Leaf
    1.29
     Birch
    1.26
     Cedar
    1.25
     Mississ
    1.24
     Oak
    1.21
     Moose
    1.14
    Activations Density 0.024%

    No Known Activations