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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. 3733
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    Explanations

    phrases related to legal documents and reports

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal reports and letters

    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
    Rated
    -0.70
    bury
    -0.65
    inventoryQuantity
    -0.62
    usercontent
    -0.61
    pox
    -0.60
    aq
    -0.60
    natureconservancy
    -0.58
     Bomb
    -0.57
     Columb
    -0.57
     bankruptcy
    -0.56
    POSITIVE LOGITS
     comprised
    0.72
     titled
    0.71
     excerpts
    0.66
     scathing
    0.65
     furthermore
    0.64
     penned
    0.64
    vertisement
    0.62
    itled
    0.61
     authored
    0.61
     outlining
    0.60
    Activations Density 0.632%

    No Known Activations