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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. 6-RES-JB
    11. 10896
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    Explanations

    U.S. state abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    U.S. state abbreviations and their corresponding representatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redditor
    -0.75
    LOAD
    -0.69
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
     equations
    -0.61
    BILITIES
    -0.60
     meanings
    -0.58
     filler
    -0.57
     reuse
    -0.57
     imagination
    -0.57
     casual
    -0.57
    POSITIVE LOGITS
    essee
    0.91
    sylvania
    0.91
    achusetts
    0.86
    icut
    0.82
    .),
    0.81
    .).
    0.79
    .):
    0.79
    adelphia
    0.77
    hattan
    0.76
    )|
    0.76
    Activations Density 0.056%

    No Known Activations