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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. 3581
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    Explanations

    references to footwear, specifically shoes

    oai_token-act-pair · gpt-3.5-turbo

    references to shoes and their features

    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
    CLASSIFIED
    -0.75
    ktop
    -0.70
     Modes
    -0.70
    hips
    -0.69
     Remastered
    -0.68
    kinson
    -0.68
    imens
    -0.66
     MacArthur
    -0.65
    ancock
    -0.65
     Geo
    -0.64
    POSITIVE LOGITS
    toe
    0.98
     shoe
    0.93
    horn
    0.88
     heel
    0.82
    obi
    0.78
    bag
    0.76
    pei
    0.76
    eki
    0.75
     sock
    0.75
     duct
    0.74
    Activations Density 0.016%

    No Known Activations