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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. 2-RES-JB
    6. 19572
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    Explanations

    words related to intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intent or purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chocobo
    -0.69
     Tycoon
    -0.66
     Serge
    -0.64
     Jenner
    -0.64
     Occ
    -0.63
     Britann
    -0.63
     Quin
    -0.63
     Cats
    -0.62
    projects
    -0.61
     Cars
    -0.61
    POSITIVE LOGITS
     intent
    1.21
    lessly
    0.91
     guiActiveUn
    0.85
     Intent
    0.84
    intent
    0.83
     intention
    0.80
    ensity
    0.80
     intending
    0.78
    fulness
    0.78
    yip
    0.77
    Activations Density 0.008%

    No Known Activations