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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. 13409
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    Explanations

    phrases related to configurations or arrangements

    oai_token-act-pair · gpt-3.5-turbo

    references to various configurations or arrangements

    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
     ILCS
    -0.82
    inals
    -0.72
    orie
    -0.71
    thood
    -0.71
     Ago
    -0.69
    pha
    -0.69
    onso
    -0.69
    emi
    -0.67
    ollow
    -0.65
    ibli
    -0.65
    POSITIVE LOGITS
     setup
    0.89
    eering
    0.89
     setups
    0.87
    eers
    0.83
    setup
    0.75
     Setup
    0.74
     regimen
    0.70
     procedure
    0.69
     configurations
    0.69
    mate
    0.68
    Activations Density 0.010%

    No Known Activations