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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. 1-RES-JB
    11. 20824
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    Explanations

    quantitative terms or expressions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantitative analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HOME
    -0.91
     Slayer
    -0.69
     pity
    -0.68
     Kirin
    -0.67
    lihood
    -0.67
     dear
    -0.66
     Sutherland
    -0.66
     laugh
    -0.64
    NetMessage
    -0.64
     Karen
    -0.64
    POSITIVE LOGITS
    itatively
    1.45
     quant
    1.28
    quant
    1.17
    ifiable
    0.96
    ified
    0.95
    idian
    0.94
    ainers
    0.93
    Quant
    0.91
    ipl
    0.91
    imet
    0.90
    Activations Density 0.011%

    No Known Activations