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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. 5-RES-JB
    6. 8825
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    Explanations

    mentions of the word "volume" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "volume" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.87
    unes
    -0.82
    lez
    -0.77
    enegger
    -0.77
    mond
    -0.76
    eer
    -0.75
    athing
    -0.71
    notations
    -0.70
    acons
    -0.69
     Pearce
    -0.68
    POSITIVE LOGITS
     volumes
    1.01
     volume
    0.91
    Volume
    0.88
    umes
    0.88
    catentry
    0.80
     discounts
    0.80
    é¾
    0.80
    volume
    0.76
    Increases
    0.76
     quantities
    0.71
    Activations Density 0.013%

    No Known Activations