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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. 1-RES-JB
    11. 534
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    Explanations

    references to the Canadian hockey team, the Toronto Maple Leafs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Maple Leafs" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.75
    udeb
    -0.72
     Huckabee
    -0.72
    dit
    -0.71
    ded
    -0.70
    FAULT
    -0.69
    versions
    -0.68
    shapeshifter
    -0.68
    demand
    -0.68
    egal
    -0.68
    POSITIVE LOGITS
     Leafs
    1.20
     Maple
    1.19
    Story
    0.97
     Leaf
    0.93
    wood
    0.91
     Lumpur
    0.83
     syrup
    0.82
    hurst
    0.78
     Ridge
    0.75
     Trees
    0.74
    Activations Density 0.008%

    No Known Activations