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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. 11-RES-JB
    11. 728
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    Explanations

    references to specific time periods or events

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports and their seasons

    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
    eous
    -0.73
    SAY
    -0.69
    arre
    -0.68
    ãģı
    -0.68
     Alone
    -0.68
    âĹ¼
    -0.67
     derog
    -0.65
    SHARE
    -0.65
    soever
    -0.62
    asking
    -0.61
    POSITIVE LOGITS
     begins
    1.48
     ends
    1.45
     resumes
    1.44
     commenced
    1.39
     began
    1.34
     resumed
    1.33
     ended
    1.28
     starts
    1.28
     Ends
    1.28
     started
    1.26
    Activations Density 0.248%

    No Known Activations