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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. 11-RES-JB
    6. 5655
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    INDEX
    Explanations

    comparisons or quantities involving a specific numerical value or relationship

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases indicating quantities or numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    NEY
    -0.71
    ffen
    -0.67
     largeDownload
    -0.65
    EMENT
    -0.64
    ouse
    -0.61
    ococ
    -0.60
    inen
    -0.60
    bern
    -0.60
    neys
    -0.59
    byn
    -0.59
    POSITIVE LOGITS
     doubling
    0.95
     doubled
    0.95
     200
    0.94
     tripled
    0.92
     600
    0.91
     half
    0.91
     700
    0.90
     300
    0.89
     400
    0.89
     100
    0.87
    Activations Density 0.051%

    No Known Activations