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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. 4-RES-JB
    6. 17671
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    INDEX
    Explanations

    numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical limits or capacities

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

    No Comments

    Negative Logits
    bane
    -0.84
    FORE
    -0.84
     Guys
    -0.75
    perse
    -0.75
    çīĪ
    -0.72
    ãĥīãĥ©
    -0.71
    neys
    -0.71
     Aki
    -0.70
    rums
    -0.70
    Interstitial
    -0.69
    POSITIVE LOGITS
     amount
    1.04
     allowable
    1.04
     extent
    0.93
    nesota
    0.90
     likelihood
    0.88
    egal
    0.85
    imize
    0.83
     maximum
    0.82
     punishment
    0.80
    ionage
    0.79
    Activations Density 0.011%

    No Known Activations