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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. 7-RES-JB
    11. 11644
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    Explanations

    locations or places where objects or events occur

    oai_token-act-pair · gpt-3.5-turbo

    instances of discoveries or findings and their locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     depended
    -0.84
     lasted
    -0.76
     ensured
    -0.73
     reliant
    -0.72
     obliged
    -0.70
    until
    -0.70
     accommod
    -0.69
     deleg
    -0.69
     exerted
    -0.69
     except
    -0.69
    POSITIVE LOGITS
     attic
    0.85
     Treasure
    0.84
     landfill
    0.79
    aceae
    0.77
    Leaks
    0.76
     Northwest
    0.75
     northeastern
    0.71
     ruins
    0.71
     bushes
    0.71
     Paddock
    0.71
    Activations Density 0.327%

    No Known Activations