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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. 10-RES-JB
    6. 14627
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    Explanations

    words related to official reports or documents

    oai_token-act-pair · gpt-3.5-turbo

    references to reports and their contents in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conservancy
    -0.64
    east
    -0.63
     spac
    -0.61
     bene
    -0.59
     actionGroup
    -0.58
     eas
    -0.57
     mortar
    -0.57
    ansk
    -0.57
     awe
    -0.57
     customs
    -0.56
    POSITIVE LOGITS
     detailing
    0.95
     titled
    0.95
     commissioned
    0.91
    orial
    0.90
    velop
    0.90
    card
    0.88
     compiled
    0.85
     issued
    0.83
     outlining
    0.83
     documenting
    0.83
    Activations Density 0.071%

    No Known Activations