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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. 10-RES-JB
    11. 23396
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    Explanations

    legal and bureaucratic terms used in official documents or procedures

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of legal terms and references to legal cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Weiss
    -0.88
     Parsons
    -0.79
     Boone
    -0.75
    toggle
    -0.73
    Cub
    -0.72
     Beacon
    -0.71
    ritch
    -0.71
    aleigh
    -0.70
    riel
    -0.70
    enton
    -0.69
    POSITIVE LOGITS
     Gujarat
    1.42
     Rs
    1.33
     till
    1.32
     Maharashtra
    1.31
     lakh
    1.30
     Kerala
    1.24
     Delhi
    1.21
     BJP
    1.20
     Hyder
    1.19
     Punjab
    1.17
    Activations Density 0.798%

    No Known Activations