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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. 10-RES-JB
    11. 21416
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    Explanations

    numerical data such as percentages, quantities, and rankings

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics presented in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ²¾
    -1.03
    ļéĨĴ
    -0.72
    itol
    -0.72
    FactoryReloaded
    -0.66
    irie
    -0.65
    ESE
    -0.65
    ¬¼
    -0.64
    izoph
    -0.64
    Ħ¢
    -0.62
    Ĥİ
    -0.61
    POSITIVE LOGITS
     marking
    1.01
     surpass
    0.99
     whereas
    0.96
     including
    0.94
     compared
    0.91
     eclips
    0.90
     trailed
    0.90
     surpassed
    0.88
     averaging
    0.88
     shattering
    0.88
    Activations Density 0.107%

    No Known Activations