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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. 11143
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    Explanations

    references to the Dalai Lama

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Dalai Lama

    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
    reek
    -0.84
    ties
    -0.75
    tes
    -0.70
    POS
    -0.69
    ptroller
    -0.66
    OTT
    -0.65
    hire
    -0.65
    aved
    -0.65
     Rutgers
    -0.65
    OLD
    -0.65
    POSITIVE LOGITS
     Lama
    1.26
    utra
    0.92
     Jinping
    0.85
    oland
    0.85
    ysis
    0.80
    EStream
    0.79
    ertodd
    0.79
    istani
    0.78
     Bei
    0.76
    eus
    0.75
    Activations Density 0.011%

    No Known Activations