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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 2793
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    Explanations

    references to LEGO products and building activities

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to LEGO products and themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ãĥ£
    -0.72
    pher
    -0.67
    ebin
    -0.65
    yip
    -0.64
     ABV
    -0.64
     hemorrh
    -0.63
    ection
    -0.62
    rawdownloadcloneembedreportprint
    -0.61
    20439
    -0.61
     goodbye
    -0.60
    POSITIVE LOGITS
     Ideas
    1.09
     Dimensions
    1.08
     Nin
    0.86
     Buildings
    0.83
    Corp
    0.78
     bricks
    0.77
    ®
    0.77
     Techn
    0.75
     Movie
    0.74
     Sets
    0.74
    Activations Density 0.071%

    No Known Activations