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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. 11-RES-JB
    6. 2944
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    INDEX
    Explanations

    names of notable individuals or significant figures

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tune
    -0.68
     USC
    -0.65
     chem
    -0.65
     womb
    -0.61
     Hurricane
    -0.61
     CTR
    -0.59
     Spectre
    -0.58
     NRS
    -0.58
     Mandatory
    -0.58
     TBA
    -0.57
    POSITIVE LOGITS
     apologised
    1.03
    itsch
    0.89
    yip
    0.88
    cott
    0.87
    zinski
    0.87
    ij士
    0.87
    opoulos
    0.84
    iewicz
    0.84
    arde
    0.83
    ovich
    0.82
    Activations Density 0.134%

    No Known Activations