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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. 9-RES-JB
    6. 19144
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    INDEX
    Explanations

    quantities with units

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    few
    -0.95
    months
    -0.81
    999
    -0.76
     Cosponsors
    -0.75
    humans
    -0.75
    artist
    -0.75
    soDeliveryDate
    -0.74
    entimes
    -0.74
    ulhu
    -0.73
    heses
    -0.72
    POSITIVE LOGITS
     cumulative
    0.84
     extra
    0.81
     material
    0.79
     additional
    0.78
     equipment
    0.77
     usable
    0.76
     coastline
    0.75
     concentrated
    0.75
     aggregate
    0.75
     unprotected
    0.74
    Activations Density 0.082%

    No Known Activations