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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 7285
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    Explanations

    numerical values indicative of rates or frequencies

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aires
    -0.83
    quickShipAvailable
    -0.81
    enegger
    -0.79
    IRT
    -0.78
    emis
    -0.78
    iami
    -0.77
    bley
    -0.77
    paio
    -0.77
     Jakarta
    -0.73
    ADRA
    -0.73
    POSITIVE LOGITS
    payers
    1.43
    payer
    1.23
    Beer
    0.86
     (%)
    0.84
    ologies
    0.79
    hare
    0.76
    Rate
    0.73
    uation
    0.71
    hyde
    0.71
     averages
    0.70
    Activations Density 0.027%

    No Known Activations