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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. 11-RES-JB
    11. 12393
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    INDEX
    Explanations

    information related to Nike products, specifically shoes

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sneaker models and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     procedural
    -0.90
     Lua
    -0.88
    anooga
    -0.87
    mary
    -0.84
    Plot
    -0.81
    Lua
    -0.80
    Reviewer
    -0.79
    lua
    -0.79
     reactor
    -0.78
    uana
    -0.77
    POSITIVE LOGITS
     Nike
    2.31
     Adidas
    2.10
     sneakers
    1.85
     footwear
    1.73
    idas
    1.64
     sne
    1.50
     shoe
    1.47
     Shoes
    1.44
     shoes
    1.44
     Jordan
    1.39
    Activations Density 0.222%

    No Known Activations