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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. 13857
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    Explanations

    specific references to magazine issues and publications

    oai_token-act-pair · gpt-3.5-turbo

    references to specific magazine issues and publications

    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
     herds
    -0.72
    cffffcc
    -0.71
     distances
    -0.69
     sche
    -0.69
     paths
    -0.69
    xual
    -0.68
    headed
    -0.68
     scenes
    -0.68
    anders
    -0.68
    frog
    -0.68
    POSITIVE LOGITS
     Digest
    1.00
     Weekly
    0.91
     Monthly
    0.88
     Omni
    0.87
     Pediatrics
    0.83
     Observer
    0.81
     Editorial
    0.79
     Bulletin
    0.77
     Proceedings
    0.76
     Tablet
    0.75
    Activations Density 0.065%

    No Known Activations